
R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> source("pscore_estimation_core1.R")
Loading required package: gbm
Loading required package: survival
Loading required package: splines
Loading required package: lattice
Loaded gbm 1.6-3.1 
Loading required package: survey

Attaching package: 'survey'

The following object(s) are masked from 'package:graphics':

    dotchart

Loading required package: xtable
Loading required package: MASS
Loading required package: mlbench
Loading required package: nnet
Loading required package: class

Attaching package: 'ipred'

The following object(s) are masked from 'package:survey':

    cv

randomForest 4.5-36
Type rfNews() to see new features/changes/bug fixes.
> library(Matching)
Loading required package: rgenoud
##  rgenoud (Version 5.6-7, Build Date: 2010-06-01)
##  See http://sekhon.berkeley.edu/rgenoud for additional documentation.
## 
##  Matching (Version 4.7-10, Build Date: 2010/08/13)
##  See http://sekhon.berkeley.edu/matching for additional documentation.
##  Please cite software as:
##   Jasjeet S. Sekhon. Forthcoming. ``Multivariate and Propensity Score Matching
##   Software with Automated Balance Optimization: The Matching package for R.''
##   Journal of Statistical Software. 
##
> 
> options(warn=1)
> 
> load(file="RData.simdata.C.obs1000.reps1000")
> dta <- simdata.C.obs1000.reps1000
> rm(simdata.C.obs1000.reps1000)
> gc()
           used (Mb) gc trigger  (Mb) max used (Mb)
Ncells   200676 10.8     407500  21.8   350000 18.7
Vcells 12195008 93.1   13300699 101.5 12195652 93.1
> 
> #true estimate
> g1 <- -0.4
> 
> sims <- dim(dta)[2]
> nobs <- length(dta[1,2]$w1)
> 
> true.est <- matrix(0, nrow=sims, ncol=1)
> 
> logit.pscore <- list()
> logit.est <- matrix(0, nrow=sims, ncol=1)
> logit.nSE <- matrix(0, nrow=sims, ncol=1)
> logit.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> boosting.pscore <- list()
> boosting.desc <- list()
> boosting.est <- matrix(0, nrow=sims, ncol=1)
> boosting.nSE <- matrix(0, nrow=sims, ncol=1)
> boosting.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> forest.pscore <- list()
> forest.est <- matrix(0, nrow=sims, ncol=1)
> forest.nSE <- matrix(0, nrow=sims, ncol=1)
> forest.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> nnet.pscore <- list()
> nnet.est <- matrix(0, nrow=sims, ncol=1)
> nnet.nSE <- matrix(0, nrow=sims, ncol=1)
> nnet.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> count <- 0
> for (s in 1:sims)
+   {
+     cat("\n\ns:",s,"\n")
+     count <- count+1
+ 
+     sdta <- as.data.frame(dta[,s])
+ 
+     #true model
+ #    lm1 <- lm(y.a~ z.a+ w1 + w2 + w3 + w4 + w8 + w9 + w10, data=sdta)
+ #    true.est[s] <- lm1$coef[2]
+ #    cat("truth:",mean(true.est[1:s]),"\n")
+ 
+     #logit
+     logit.ps <- glm(z.a ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10, data=sdta, family=binomial(link="logit"))$fitted
+     logit.pscore[[s]] <- logit.ps
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=logit.ps, estimand="ATT", M=1)
+     logit.est[s] <-  m1$est
+     logit.nSE[s] <- m1$se.standard
+     logit.aiSE[s] <- m1$se
+ 
+     cat("logit",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("logit mean",s,":",mean(logit.est[1:s]),"\n")
+         rmse <- sqrt(mean((logit.est[1:s]-g1)^2))
+         cat("logit RMSE",s,":",rmse,"\n")
+       }
+ 
+     #boosting!
+     ps.model <- ps(z.a ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10,
+                    data=sdta, title="none", stop.method=stop.methods["ks.stat.mean"],
+                    plots="none", pdf.plots=F, n.trees=20000, interaction.depth=4,
+                    shrinkage=0.0005, verbose=FALSE)
+ 
+     boosting.pscore[[s]] <- ps.model$ps
+     boosting.desc[[s]] <- ps.model$desc
+ 
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=ps.model$ps, estimand="ATT", M=1)
+     boosting.est[s] <-  m1$est
+     boosting.nSE[s] <- m1$se.standard
+     boosting.aiSE[s] <- m1$se
+ 
+     cat("\nboosting",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("boosting mean",s,":",mean(boosting.est[1:s]),"\n")
+         rmse <- sqrt(mean((boosting.est[1:s]-g1)^2))
+         cat("boosting RMSE",s,":",rmse,"\n")
+       }    
+ 
+ 
+     #Random Forest
+     ps1 <- 1
+     while (max(ps1)> .999) {
+ #      gc(verbose=TRUE)
+       fps.model <- randomForest(as.factor(z.a) ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10, data=sdta)
+       ps1 <- fps.model$votes[, 2]
+     }
+     
+     forest.pscore[[s]] <- ps1
+ 
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=ps1, estimand="ATT", M=1)
+     forest.est[s] <-  m1$est
+     forest.nSE[s] <- m1$se.standard
+     forest.aiSE[s] <- m1$se
+ 
+     cat("\nforest",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("forest mean",s,":",mean(forest.est[1:s]),"\n")
+         rmse <- sqrt(mean((forest.est[1:s]-g1)^2))
+         cat("forest RMSE",s,":",rmse,"\n")
+       }
+ 
+     n1 <- nnet(z.a ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10, size=40, data=sdta, trace=FALSE)
+     nnet.pscore[[s]] <- n1$fitted.values
+ 
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=n1$fitted.values, estimand="ATT", M=1)
+     nnet.est[s] <-  m1$est
+     nnet.nSE[s] <- m1$se.standard
+     nnet.aiSE[s] <- m1$se
+ 
+     cat("\nnnet",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("nnet mean",s,":",mean(nnet.est[1:s]),"\n")
+         rmse <- sqrt(mean((nnet.est[1:s]-g1)^2))
+         cat("nnet RMSE",s,":",rmse,"\n")
+       }    
+ 
+     if (count>50)
+       {
+         save.image("RData.sims.C.nobs1000")
+         count <- 0
+       }
+   }#end of sims loop


s: 1 
logit 1 : -0.4378532 

boosting 1 : -0.3606602 

forest 1 : -0.4283223 

nnet 1 : -0.4063879 


s: 2 
logit 2 : -0.3906529 
logit mean 2 : -0.414253 
logit RMSE 2 : 0.02757018 

boosting 2 : -0.3995621 
boosting mean 2 : -0.3801112 
boosting RMSE 2 : 0.02781914 

forest 2 : -0.4152233 
forest mean 2 : -0.4217728 
forest RMSE 2 : 0.02273655 

nnet 2 : -0.4287752 
nnet mean 2 : -0.4175815 
nnet RMSE 2 : 0.02084245 


s: 3 
logit 3 : -0.4548398 
logit mean 3 : -0.4277820 
logit RMSE 3 : 0.03884857 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 3 : -0.5098282 
boosting mean 3 : -0.4233502 
boosting RMSE 3 : 0.06735491 

forest 3 : -0.4209083 
forest mean 3 : -0.4214846 
forest RMSE 3 : 0.02214392 

nnet 3 : -0.2083083 
nnet mean 3 : -0.3478238 
nnet RMSE 3 : 0.1119740 


s: 4 
logit 4 : -0.4783642 
logit mean 4 : -0.4404275 
logit RMSE 4 : 0.05164442 

boosting 4 : -0.1529923 
boosting mean 4 : -0.3557607 
boosting RMSE 4 : 0.1365859 

forest 4 : -0.2665144 
forest mean 4 : -0.3827421 
forest RMSE 4 : 0.06944327 

nnet 4 : -0.3052884 
nnet mean 4 : -0.3371899 
nnet RMSE 4 : 0.1079176 


s: 5 
logit 5 : -0.4927573 
logit mean 5 : -0.4508935 
logit RMSE 5 : 0.06208464 

boosting 5 : -0.4109897 
boosting mean 5 : -0.3668065 
boosting RMSE 5 : 0.1222650 

forest 5 : -0.5001603 
forest mean 5 : -0.4062257 
forest RMSE 5 : 0.0765788 

nnet 5 : -0.6104564 
nnet mean 5 : -0.3918432 
nnet RMSE 5 : 0.1348159 


s: 6 
logit 6 : -0.4009621 
logit mean 6 : -0.4425716 
logit RMSE 6 : 0.05667662 

boosting 6 : -0.03511898 
boosting mean 6 : -0.3115253 
boosting RMSE 6 : 0.1861370 

forest 6 : -0.3841366 
forest mean 6 : -0.4025442 
forest RMSE 6 : 0.0702059 

nnet 6 : -0.2167136 
nnet mean 6 : -0.362655 
nnet RMSE 6 : 0.1440316 


s: 7 
logit 7 : -0.4225876 
logit mean 7 : -0.4397167 
logit RMSE 7 : 0.05316234 

boosting 7 : -0.3198413 
boosting mean 7 : -0.3127133 
boosting RMSE 7 : 0.1749723 

forest 7 : -0.4739338 
forest mean 7 : -0.4127427 
forest RMSE 7 : 0.07075048 

nnet 7 : -0.5745604 
nnet mean 7 : -0.3929272 
nnet RMSE 7 : 0.1487769 


s: 8 
logit 8 : -0.4852566 
logit mean 8 : -0.4454092 
logit RMSE 8 : 0.05815102 

boosting 8 : -0.4923086 
boosting mean 8 : -0.3351627 
boosting RMSE 8 : 0.1668937 

forest 8 : -0.2585994 
forest mean 8 : -0.3934748 
forest RMSE 8 : 0.0829409 

nnet 8 : -0.4078565 
nnet mean 8 : -0.3947933 
nnet RMSE 8 : 0.1391958 


s: 9 
logit 9 : -0.521291 
logit mean 9 : -0.4538405 
logit RMSE 9 : 0.06812068 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 9 : -0.2376070 
boosting mean 9 : -0.3243232 
boosting RMSE 9 : 0.1663996 

forest 9 : -0.4561487 
forest mean 9 : -0.4004386 
forest RMSE 9 : 0.08040606 

nnet 9 : -0.3638178 
nnet mean 9 : -0.3913516 
nnet RMSE 9 : 0.1317881 


s: 10 
logit 10 : -0.4244651 
logit mean 10 : -0.450903 
logit RMSE 10 : 0.06508639 

boosting 10 : -0.4168896 
boosting mean 10 : -0.3335798 
boosting RMSE 10 : 0.1579509 

forest 10 : -0.2977088 
forest mean 10 : -0.3901656 
forest RMSE 10 : 0.08285511 

nnet 10 : -0.5310393 
nnet mean 10 : -0.4053204 
nnet RMSE 10 : 0.1317134 


s: 11 
logit 11 : -0.3741571 
logit mean 11 : -0.4439261 
logit RMSE 11 : 0.0625447 

boosting 11 : -0.4438789 
boosting mean 11 : -0.343607 
boosting RMSE 11 : 0.1511803 

forest 11 : -0.3500346 
forest mean 11 : -0.3865173 
forest RMSE 11 : 0.08042288 

nnet 11 : -0.3960287 
nnet mean 11 : -0.4044757 
nnet RMSE 11 : 0.1255895 


s: 12 
logit 12 : -0.4490986 
logit mean 12 : -0.4443571 
logit RMSE 12 : 0.06153651 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 12 : -0.2412334 
boosting mean 12 : -0.3350759 
boosting RMSE 12 : 0.1518269 

forest 12 : -0.3401756 
forest mean 12 : -0.3826555 
forest RMSE 12 : 0.07891198 

nnet 12 : -0.3835886 
nnet mean 12 : -0.4027351 
nnet RMSE 12 : 0.1203361 


s: 13 
logit 13 : -0.4225541 
logit mean 13 : -0.44268 
logit RMSE 13 : 0.05945237 

boosting 13 : -0.3204341 
boosting mean 13 : -0.3339496 
boosting RMSE 13 : 0.1475304 

forest 13 : -0.3246231 
forest mean 13 : -0.3781915 
forest RMSE 13 : 0.07864569 

nnet 13 : -0.1980601 
nnet mean 13 : -0.3869909 
nnet RMSE 13 : 0.1284670 


s: 14 
logit 14 : -0.4534507 
logit mean 14 : -0.4434493 
logit RMSE 14 : 0.05904391 

boosting 14 : -0.3887941 
boosting mean 14 : -0.3378670 
boosting RMSE 14 : 0.1421954 

forest 14 : -0.4246797 
forest mean 14 : -0.3815121 
forest RMSE 14 : 0.07607138 

nnet 14 : -0.4124008 
nnet mean 14 : -0.3888059 
nnet RMSE 14 : 0.1238382 


s: 15 
logit 15 : -0.3755552 
logit mean 15 : -0.4389230 
logit RMSE 15 : 0.05738996 

boosting 15 : -0.3521156 
boosting mean 15 : -0.3388170 
boosting RMSE 15 : 0.1379290 

forest 15 : -0.3384165 
forest mean 15 : -0.378639 
forest RMSE 15 : 0.07519242 

nnet 15 : -0.5089011 
nnet mean 15 : -0.3968122 
nnet RMSE 15 : 0.1228989 


s: 16 
logit 16 : -0.5108427 
logit mean 16 : -0.443418 
logit RMSE 16 : 0.0620938 

boosting 16 : -0.4701583 
boosting mean 16 : -0.3470258 
boosting RMSE 16 : 0.1346960 

forest 16 : -0.4144842 
forest mean 16 : -0.3808794 
forest RMSE 16 : 0.07289474 

nnet 16 : -0.6083628 
nnet mean 16 : -0.4100341 
nnet RMSE 16 : 0.1298983 


s: 17 
logit 17 : -0.4121413 
logit mean 17 : -0.4415782 
logit RMSE 17 : 0.06031176 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 17 : -0.266418 
boosting mean 17 : -0.3422842 
boosting RMSE 17 : 0.1346308 

forest 17 : -0.4308291 
forest mean 17 : -0.3838176 
forest RMSE 17 : 0.07111247 

nnet 17 : -0.2407201 
nnet mean 17 : -0.4000745 
nnet RMSE 17 : 0.1318081 


s: 18 
logit 18 : -0.3901812 
logit mean 18 : -0.4387228 
logit RMSE 18 : 0.05865817 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 18 : -0.774672 
boosting mean 18 : -0.3663057 
boosting RMSE 18 : 0.1578522 

forest 18 : -0.4461786 
forest mean 18 : -0.3872821 
forest RMSE 18 : 0.06996077 

nnet 18 : -0.4534558 
nnet mean 18 : -0.4030401 
nnet RMSE 18 : 0.1287126 


s: 19 
logit 19 : -0.4848956 
logit mean 19 : -0.441153 
logit RMSE 19 : 0.06032426 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 19 : -0.3758546 
boosting mean 19 : -0.3668083 
boosting RMSE 19 : 0.1537419 

forest 19 : -0.3748562 
forest mean 19 : -0.3866281 
forest RMSE 19 : 0.0683387 

nnet 19 : -0.3625748 
nnet mean 19 : -0.4009104 
nnet RMSE 19 : 0.1255735 


s: 20 
logit 20 : -0.375267 
logit mean 20 : -0.4378587 
logit RMSE 20 : 0.05905634 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 20 : -0.4122694 
boosting mean 20 : -0.3690813 
boosting RMSE 20 : 0.1498741 

forest 20 : -0.4198179 
forest mean 20 : -0.3882876 
forest RMSE 20 : 0.06675558 

nnet 20 : -0.2745453 
nnet mean 20 : -0.3945921 
nnet RMSE 20 : 0.1255676 


s: 21 
logit 21 : -0.3938907 
logit mean 21 : -0.435765 
logit RMSE 21 : 0.05764851 

boosting 21 : -0.4419431 
boosting mean 21 : -0.3725509 
boosting RMSE 21 : 0.1465483 

forest 21 : -0.3249344 
forest mean 21 : -0.3852708 
forest RMSE 21 : 0.06717461 

nnet 21 : -0.4524534 
nnet mean 21 : -0.3973474 
nnet RMSE 21 : 0.1230748 


s: 22 
logit 22 : -0.4934584 
logit mean 22 : -0.4383874 
logit RMSE 22 : 0.0597437 

boosting 22 : -0.62323 
boosting mean 22 : -0.3839454 
boosting RMSE 22 : 0.1508817 

forest 22 : -0.447979 
forest mean 22 : -0.3881211 
forest RMSE 22 : 0.06642254 

nnet 22 : -0.3944562 
nnet mean 22 : -0.397216 
nnet RMSE 22 : 0.1202510 


s: 23 
logit 23 : -0.4187058 
logit mean 23 : -0.4375317 
logit RMSE 23 : 0.05856053 

boosting 23 : -0.5675321 
boosting mean 23 : -0.3919275 
boosting RMSE 23 : 0.1516436 

forest 23 : -0.5127035 
forest mean 23 : -0.3935378 
forest RMSE 23 : 0.06908252 

nnet 23 : -0.3162605 
nnet mean 23 : -0.3936962 
nnet RMSE 23 : 0.1188969 


s: 24 
logit 24 : -0.4177218 
logit mean 24 : -0.4367063 
logit RMSE 24 : 0.05744156 

boosting 24 : -0.894614 
boosting mean 24 : -0.4128727 
boosting RMSE 24 : 0.1795302 

forest 24 : -0.4613883 
forest mean 24 : -0.3963649 
forest RMSE 24 : 0.06877911 

nnet 24 : -0.4778199 
nnet mean 24 : -0.3972013 
nnet RMSE 24 : 0.1174725 


s: 25 
logit 25 : -0.4916832 
logit mean 25 : -0.4389053 
logit RMSE 25 : 0.05919277 

boosting 25 : -0.5044176 
boosting mean 25 : -0.4165345 
boosting RMSE 25 : 0.1771383 

forest 25 : -0.4533802 
forest mean 25 : -0.3986455 
forest RMSE 25 : 0.06822991 

nnet 25 : -0.3459125 
nnet mean 25 : -0.3951498 
nnet RMSE 25 : 0.1156063 


s: 26 
logit 26 : -0.4544574 
logit mean 26 : -0.4395035 
logit RMSE 26 : 0.05901767 

boosting 26 : -0.3756998 
boosting mean 26 : -0.414964 
boosting RMSE 26 : 0.1737637 

forest 26 : -0.3602432 
forest mean 26 : -0.3971685 
forest RMSE 26 : 0.06735772 

nnet 26 : -0.3802874 
nnet mean 26 : -0.3945781 
nnet RMSE 26 : 0.1134272 


s: 27 
logit 27 : -0.4551933 
logit mean 27 : -0.4400846 
logit RMSE 27 : 0.05888046 

boosting 27 : -0.4895319 
boosting mean 27 : -0.4177257 
boosting RMSE 27 : 0.1713839 

forest 27 : -0.4154645 
forest mean 27 : -0.3978461 
forest RMSE 27 : 0.06616556 

nnet 27 : -0.5439466 
nnet mean 27 : -0.4001103 
nnet RMSE 27 : 0.1147024 


s: 28 
logit 28 : -0.5013599 
logit mean 28 : -0.442273 
logit RMSE 28 : 0.06090987 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 28 : -0.2892773 
boosting mean 28 : -0.4131383 
boosting RMSE 28 : 0.1695914 

forest 28 : -0.3332941 
forest mean 28 : -0.3955407 
forest RMSE 28 : 0.06618493 

nnet 28 : -0.3142058 
nnet mean 28 : -0.3970423 
nnet RMSE 28 : 0.1137965 


s: 29 
logit 29 : -0.4942048 
logit mean 29 : -0.4440638 
logit RMSE 29 : 0.06235463 

boosting 29 : -0.3160747 
boosting mean 29 : -0.4097913 
boosting RMSE 29 : 0.1673689 

forest 29 : -0.4816919 
forest mean 29 : -0.3985114 
forest RMSE 29 : 0.06677962 

nnet 29 : -0.6704269 
nnet mean 29 : -0.4064694 
nnet RMSE 29 : 0.1225759 


s: 30 
logit 30 : -0.5504983 
logit mean 30 : -0.4476116 
logit RMSE 30 : 0.0671825 

boosting 30 : -0.1781611 
boosting mean 30 : -0.4020703 
boosting RMSE 30 : 0.1694669 

forest 30 : -0.2645829 
forest mean 30 : -0.3940471 
forest RMSE 30 : 0.07015787 

nnet 30 : -0.3474889 
nnet mean 30 : -0.4045033 
nnet RMSE 30 : 0.1208964 


s: 31 
logit 31 : -0.5650965 
logit mean 31 : -0.4514014 
logit RMSE 31 : 0.07243718 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 31 : -0.659915 
boosting mean 31 : -0.4103878 
boosting RMSE 31 : 0.1731238 

forest 31 : -0.4224616 
forest mean 31 : -0.3949637 
forest RMSE 31 : 0.06913482 

nnet 31 : -0.4897976 
nnet mean 31 : -0.4072548 
nnet RMSE 31 : 0.1200191 


s: 32 
logit 32 : -0.4841259 
logit mean 32 : -0.4524240 
logit RMSE 32 : 0.07283085 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 32 : -0.7248827 
boosting mean 32 : -0.4202158 
boosting RMSE 32 : 0.1798155 

forest 32 : -0.4656604 
forest mean 32 : -0.397173 
forest RMSE 32 : 0.0690289 

nnet 32 : -0.7874762 
nnet mean 32 : -0.4191367 
nnet RMSE 32 : 0.1365512 


s: 33 
logit 33 : -0.4557999 
logit mean 33 : -0.4525263 
logit RMSE 33 : 0.07237367 

boosting 33 : -0.4798539 
boosting mean 33 : -0.422023 
boosting RMSE 33 : 0.1776149 

forest 33 : -0.4115224 
forest mean 33 : -0.3976078 
forest RMSE 33 : 0.06800454 

nnet 33 : -0.1664362 
nnet mean 33 : -0.4114791 
nnet RMSE 33 : 0.1404788 


s: 34 
logit 34 : -0.4841657 
logit mean 34 : -0.4534569 
logit RMSE 34 : 0.07274778 

boosting 34 : -0.4786376 
boosting mean 34 : -0.4236882 
boosting RMSE 34 : 0.1755023 

forest 34 : -0.4339769 
forest mean 34 : -0.3986775 
forest RMSE 34 : 0.06724993 

nnet 34 : -0.4758780 
nnet mean 34 : -0.4133732 
nnet RMSE 34 : 0.1390079 


s: 35 
logit 35 : -0.4691867 
logit mean 35 : -0.4539063 
logit RMSE 35 : 0.07264846 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 35 : -0.5285349 
boosting mean 35 : -0.4266838 
boosting RMSE 35 : 0.1743361 

forest 35 : -0.3456653 
forest mean 35 : -0.3971629 
forest RMSE 35 : 0.06691553 

nnet 35 : -0.3586362 
nnet mean 35 : -0.4118093 
nnet RMSE 35 : 0.137186 


s: 36 
logit 36 : -0.3775377 
logit mean 36 : -0.451785 
logit RMSE 36 : 0.07173011 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 36 : -0.4830365 
boosting mean 36 : -0.4282491 
boosting RMSE 36 : 0.1724539 

forest 36 : -0.3585842 
forest mean 36 : -0.3960912 
forest RMSE 36 : 0.06633969 

nnet 36 : -0.4815099 
nnet mean 36 : -0.4137454 
nnet RMSE 36 : 0.1359477 


s: 37 
logit 37 : -0.3652506 
logit mean 37 : -0.4494462 
logit RMSE 37 : 0.0709844 

boosting 37 : -0.5182882 
boosting mean 37 : -0.4306826 
boosting RMSE 37 : 0.1712154 

forest 37 : -0.4572433 
forest mean 37 : -0.397744 
forest RMSE 37 : 0.0661103 

nnet 37 : -0.2589122 
nnet mean 37 : -0.4095607 
nnet RMSE 37 : 0.1360892 


s: 38 
logit 38 : -0.5052074 
logit mean 38 : -0.4509136 
logit RMSE 38 : 0.07209344 

boosting 38 : -0.2231324 
boosting mean 38 : -0.4252208 
boosting RMSE 38 : 0.1713665 

forest 38 : -0.4016332 
forest mean 38 : -0.3978463 
forest RMSE 38 : 0.06523516 

nnet 38 : -0.3079066 
nnet mean 38 : -0.4068856 
nnet RMSE 38 : 0.1351150 


s: 39 
logit 39 : -0.4486277 
logit mean 39 : -0.450855 
logit RMSE 39 : 0.0715879 

boosting 39 : -0.3513607 
boosting mean 39 : -0.4233269 
boosting RMSE 39 : 0.1693345 

forest 39 : -0.4253997 
forest mean 39 : -0.3985528 
forest RMSE 39 : 0.0645217 

nnet 39 : -0.3755439 
nnet mean 39 : -0.406082 
nnet RMSE 39 : 0.1334290 


s: 40 
logit 40 : -0.4098646 
logit mean 40 : -0.4498302 
logit RMSE 40 : 0.0707046 

boosting 40 : -0.3357727 
boosting mean 40 : -0.4211381 
boosting RMSE 40 : 0.1675125 

forest 40 : -0.455291 
forest mean 40 : -0.3999713 
forest RMSE 40 : 0.06430708 

nnet 40 : -0.3022037 
nnet mean 40 : -0.403485 
nnet RMSE 40 : 0.1326549 


s: 41 
logit 41 : -0.4493443 
logit mean 41 : -0.4498184 
logit RMSE 41 : 0.07026091 

boosting 41 : -0.4544022 
boosting mean 41 : -0.4219494 
boosting RMSE 41 : 0.1656751 

forest 41 : -0.3675026 
forest mean 41 : -0.3991794 
forest RMSE 41 : 0.06372045 

nnet 41 : -0.5320189 
nnet mean 41 : -0.40662 
nnet RMSE 41 : 0.1326394 


s: 42 
logit 42 : -0.3700691 
logit mean 42 : -0.4479196 
logit RMSE 42 : 0.0695729 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 42 : -0.4854373 
boosting mean 42 : -0.423461 
boosting RMSE 42 : 0.1642209 

forest 42 : -0.3356131 
forest mean 42 : -0.3976659 
forest RMSE 42 : 0.0637364 

nnet 42 : -0.4120273 
nnet mean 42 : -0.4067487 
nnet RMSE 42 : 0.1310640 


s: 43 
logit 43 : -0.4226466 
logit mean 43 : -0.4473319 
logit RMSE 43 : 0.06884583 

boosting 43 : -0.4306062 
boosting mean 43 : -0.4236272 
boosting RMSE 43 : 0.1623672 

forest 43 : -0.3618701 
forest mean 43 : -0.3968334 
forest RMSE 43 : 0.06325873 

nnet 43 : -0.5216387 
nnet mean 43 : -0.4094206 
nnet RMSE 43 : 0.1308525 


s: 44 
logit 44 : -0.4288772 
logit mean 44 : -0.4469124 
logit RMSE 44 : 0.06819808 

boosting 44 : -0.3924954 
boosting mean 44 : -0.4229196 
boosting RMSE 44 : 0.1605155 

forest 44 : -0.4945901 
forest mean 44 : -0.3990552 
forest RMSE 44 : 0.064141 

nnet 44 : -0.2866012 
nnet mean 44 : -0.4066292 
nnet RMSE 44 : 0.1304818 


s: 45 
logit 45 : -0.5098272 
logit mean 45 : -0.4483105 
logit RMSE 45 : 0.06939501 

boosting 45 : -0.5065238 
boosting mean 45 : -0.4247775 
boosting RMSE 45 : 0.1595143 

forest 45 : -0.4464477 
forest mean 45 : -0.4001083 
forest RMSE 45 : 0.06380114 

nnet 45 : -0.5887106 
nnet mean 45 : -0.4106755 
nnet RMSE 45 : 0.1320550 


s: 46 
logit 46 : -0.5315435 
logit mean 46 : -0.4501199 
logit RMSE 46 : 0.07132424 

boosting 46 : -0.6941416 
boosting mean 46 : -0.4306333 
boosting RMSE 46 : 0.1636231 

forest 46 : -0.3703337 
forest mean 46 : -0.3994611 
forest RMSE 46 : 0.06325525 

nnet 46 : -0.8223067 
nnet mean 46 : -0.419624 
nnet RMSE 46 : 0.1446943 


s: 47 
logit 47 : -0.4512912 
logit mean 47 : -0.4501449 
logit RMSE 47 : 0.07095692 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 47 : -0.4589104 
boosting mean 47 : -0.4312349 
boosting RMSE 47 : 0.1621010 

forest 47 : -0.3093872 
forest mean 47 : -0.3975446 
forest RMSE 47 : 0.06395928 

nnet 47 : -0.3363401 
nnet mean 47 : -0.417852 
nnet RMSE 47 : 0.1434476 


s: 48 
logit 48 : -0.4371665 
logit mean 48 : -0.4498745 
logit RMSE 48 : 0.07041853 

boosting 48 : -0.4242656 
boosting mean 48 : -0.4310897 
boosting RMSE 48 : 0.1604418 

forest 48 : -0.4985348 
forest mean 48 : -0.3996486 
forest RMSE 48 : 0.06486785 

nnet 48 : -0.531039 
nnet mean 48 : -0.4202101 
nnet RMSE 48 : 0.1432001 


s: 49 
logit 49 : -0.4440007 
logit mean 49 : -0.4497546 
logit RMSE 49 : 0.06997915 

boosting 49 : -0.5754088 
boosting mean 49 : -0.434035 
boosting RMSE 49 : 0.1607612 

forest 49 : -0.3518917 
forest mean 49 : -0.3986739 
forest RMSE 49 : 0.06456932 

nnet 49 : -0.2967308 
nnet mean 49 : -0.4176901 
nnet RMSE 49 : 0.1424970 


s: 50 
logit 50 : -0.4480454 
logit mean 50 : -0.4497204 
logit RMSE 50 : 0.06960824 

boosting 50 : -0.3117437 
boosting mean 50 : -0.4315892 
boosting RMSE 50 : 0.1596342 

forest 50 : -0.5234765 
forest mean 50 : -0.40117 
forest RMSE 50 : 0.06626267 

nnet 50 : -0.3754789 
nnet mean 50 : -0.4168459 
nnet RMSE 50 : 0.1411075 


s: 51 
logit 51 : -0.3900267 
logit mean 51 : -0.44855 
logit RMSE 51 : 0.06893657 

boosting 51 : -0.3155382 
boosting mean 51 : -0.4293137 
boosting RMSE 51 : 0.1585032 

forest 51 : -0.3683335 
forest mean 51 : -0.4005261 
forest RMSE 51 : 0.06575949 

nnet 51 : -0.3594296 
nnet mean 51 : -0.4157200 
nnet RMSE 51 : 0.1398327 


s: 52 
logit 52 : -0.4718225 
logit mean 52 : -0.4489975 
logit RMSE 52 : 0.06899321 

boosting 52 : -0.5572146 
boosting mean 52 : -0.4317733 
boosting RMSE 52 : 0.1584785 

forest 52 : -0.3959322 
forest mean 52 : -0.4004378 
forest RMSE 52 : 0.06512656 

nnet 52 : -0.3347461 
nnet mean 52 : -0.4141629 
nnet RMSE 52 : 0.1387770 


s: 53 
logit 53 : -0.4062682 
logit mean 53 : -0.4481913 
logit RMSE 53 : 0.06834465 

boosting 53 : -0.447374 
boosting mean 53 : -0.4320676 
boosting RMSE 53 : 0.1571112 

forest 53 : -0.389584 
forest mean 53 : -0.400233 
forest RMSE 53 : 0.0645251 

nnet 53 : -0.3099661 
nnet mean 53 : -0.4121969 
nnet RMSE 53 : 0.1380167 


s: 54 
logit 54 : -0.4975361 
logit mean 54 : -0.4491051 
logit RMSE 54 : 0.06899756 

boosting 54 : -0.3754409 
boosting mean 54 : -0.431019 
boosting RMSE 54 : 0.1556855 

forest 54 : -0.4074984 
forest mean 54 : -0.4003675 
forest RMSE 54 : 0.063933 

nnet 54 : -0.3770765 
nnet mean 54 : -0.4115465 
nnet RMSE 54 : 0.1367684 


s: 55 
logit 55 : -0.4226709 
logit mean 55 : -0.4486245 
logit RMSE 55 : 0.06843574 

boosting 55 : -0.2769816 
boosting mean 55 : -0.4282183 
boosting RMSE 55 : 0.1551530 

forest 55 : -0.2687503 
forest mean 55 : -0.3979745 
forest RMSE 55 : 0.06577476 

nnet 55 : -0.3050420 
nnet mean 55 : -0.4096101 
nnet RMSE 55 : 0.1361229 


s: 56 
logit 56 : -0.4506826 
logit mean 56 : -0.4486612 
logit RMSE 56 : 0.06815928 

boosting 56 : -0.3811027 
boosting mean 56 : -0.427377 
boosting RMSE 56 : 0.1537822 

forest 56 : -0.3375467 
forest mean 56 : -0.3968954 
forest RMSE 56 : 0.06571693 

nnet 56 : -0.3765272 
nnet mean 56 : -0.4090193 
nnet RMSE 56 : 0.1349385 


s: 57 
logit 57 : -0.533505 
logit mean 57 : -0.4501497 
logit RMSE 57 : 0.06983466 

boosting 57 : -0.4278985 
boosting mean 57 : -0.4273861 
boosting RMSE 57 : 0.152472 

forest 57 : -0.3966924 
forest mean 57 : -0.3968919 
forest RMSE 57 : 0.06513938 

nnet 57 : -0.2939550 
nnet mean 57 : -0.4070006 
nnet RMSE 57 : 0.1344851 


s: 58 
logit 58 : -0.4623418 
logit mean 58 : -0.4503599 
logit RMSE 58 : 0.06971229 

boosting 58 : -0.2264818 
boosting mean 58 : -0.4239222 
boosting RMSE 58 : 0.1528594 

forest 58 : -0.3463220 
forest mean 58 : -0.39602 
forest RMSE 58 : 0.06495891 

nnet 58 : -0.007149501 
nnet mean 58 : -0.4001066 
nnet RMSE 58 : 0.1429521 


s: 59 
logit 59 : -0.4511131 
logit mean 59 : -0.4503727 
logit RMSE 59 : 0.06943857 

boosting 59 : -0.4584507 
boosting mean 59 : -0.4245075 
boosting RMSE 59 : 0.1517494 

forest 59 : -0.4453399 
forest mean 59 : -0.3968559 
forest RMSE 59 : 0.06467598 

nnet 59 : -0.3612600 
nnet mean 59 : -0.3994482 
nnet RMSE 59 : 0.1418251 


s: 60 
logit 60 : -0.4499791 
logit mean 60 : -0.4503661 
logit RMSE 60 : 0.06915913 

boosting 60 : -0.3186886 
boosting mean 60 : -0.4227438 
boosting RMSE 60 : 0.1508452 

forest 60 : -0.4630113 
forest mean 60 : -0.3979585 
forest RMSE 60 : 0.06464859 

nnet 60 : -0.5486592 
nnet mean 60 : -0.4019351 
nnet RMSE 60 : 0.1419417 


s: 61 
logit 61 : -0.3668024 
logit mean 61 : -0.4489962 
logit RMSE 61 : 0.06872148 

boosting 61 : -0.4373671 
boosting mean 61 : -0.4229836 
boosting RMSE 61 : 0.1496801 

forest 61 : -0.3929898 
forest mean 61 : -0.3978770 
forest RMSE 61 : 0.06412277 

nnet 61 : -0.3170421 
nnet mean 61 : -0.4005434 
nnet RMSE 61 : 0.1411736 


s: 62 
logit 62 : -0.4154265 
logit mean 62 : -0.4484548 
logit RMSE 62 : 0.06819317 

boosting 62 : -0.4801289 
boosting mean 62 : -0.4239053 
boosting RMSE 62 : 0.1488165 

forest 62 : -0.3923534 
forest mean 62 : -0.3977880 
forest RMSE 62 : 0.06361096 

nnet 62 : -0.4602024 
nnet mean 62 : -0.4015056 
nnet RMSE 62 : 0.1402391 


s: 63 
logit 63 : -0.5296852 
logit mean 63 : -0.4497442 
logit RMSE 63 : 0.0695949 

boosting 63 : -0.3827562 
boosting mean 63 : -0.4232521 
boosting RMSE 63 : 0.1476467 

forest 63 : -0.4321774 
forest mean 63 : -0.3983338 
forest RMSE 63 : 0.06323418 

nnet 63 : -0.2401073 
nnet mean 63 : -0.3989437 
nnet RMSE 63 : 0.1405725 


s: 64 
logit 64 : -0.489565 
logit mean 64 : -0.4503664 
logit RMSE 64 : 0.0699508 

boosting 64 : -0.3795260 
boosting mean 64 : -0.4225689 
boosting RMSE 64 : 0.1465110 

forest 64 : -0.3330464 
forest mean 64 : -0.3973137 
forest RMSE 64 : 0.06329398 

nnet 64 : -0.4613409 
nnet mean 64 : -0.3999187 
nnet RMSE 64 : 0.1396806 


s: 65 
logit 65 : -0.5457815 
logit mean 65 : -0.4518343 
logit RMSE 65 : 0.07172721 

boosting 65 : -0.6386652 
boosting mean 65 : -0.4258934 
boosting RMSE 65 : 0.1483629 

forest 65 : -0.4036706 
forest mean 65 : -0.3974115 
forest RMSE 65 : 0.06280687 

nnet 65 : -0.5240713 
nnet mean 65 : -0.4018287 
nnet RMSE 65 : 0.1394536 


s: 66 
logit 66 : -0.4783304 
logit mean 66 : -0.4522357 
logit RMSE 66 : 0.07183179 

boosting 66 : -0.6376743 
boosting mean 66 : -0.4291022 
boosting RMSE 66 : 0.1501131 

forest 66 : -0.4755011 
forest mean 66 : -0.3985947 
forest RMSE 66 : 0.06301828 

nnet 66 : -0.5463411 
nnet mean 66 : -0.4040183 
nnet RMSE 66 : 0.1395605 


s: 67 
logit 67 : -0.4451379 
logit mean 67 : -0.4521298 
logit RMSE 67 : 0.07150666 

boosting 67 : -0.4947247 
boosting mean 67 : -0.4300817 
boosting RMSE 67 : 0.1494374 

forest 67 : -0.4274067 
forest mean 67 : -0.3990247 
forest RMSE 67 : 0.06263578 

nnet 67 : -0.4336699 
nnet mean 67 : -0.4044609 
nnet RMSE 67 : 0.1385762 


s: 68 
logit 68 : -0.3848397 
logit mean 68 : -0.4511402 
logit RMSE 68 : 0.07100274 

boosting 68 : -0.4129253 
boosting mean 68 : -0.4298294 
boosting RMSE 68 : 0.1483428 

forest 68 : -0.3666826 
forest mean 68 : -0.3985491 
forest RMSE 68 : 0.06230466 

nnet 68 : -0.5323219 
nnet mean 68 : -0.4063412 
nnet RMSE 68 : 0.1384863 


s: 69 
logit 69 : -0.4572176 
logit mean 69 : -0.4512283 
logit RMSE 69 : 0.07082212 

boosting 69 : -0.4672922 
boosting mean 69 : -0.4303723 
boosting RMSE 69 : 0.1474866 

forest 69 : -0.4769646 
forest mean 69 : -0.3996855 
forest RMSE 69 : 0.06254167 

nnet 69 : -0.2272863 
nnet mean 69 : -0.4037462 
nnet RMSE 69 : 0.1390425 


s: 70 
logit 70 : -0.4237937 
logit mean 70 : -0.4508364 
logit RMSE 70 : 0.07037191 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 70 : -0.7328782 
boosting mean 70 : -0.4346938 
boosting RMSE 70 : 0.1517383 

forest 70 : -0.425324 
forest mean 70 : -0.4000518 
forest RMSE 70 : 0.06216707 

nnet 70 : -0.4852351 
nnet mean 70 : -0.4049103 
nnet RMSE 70 : 0.1384212 


s: 71 
logit 71 : -0.4977308 
logit mean 71 : -0.4514969 
logit RMSE 71 : 0.07083066 

boosting 71 : -0.4246348 
boosting mean 71 : -0.4345521 
boosting RMSE 71 : 0.1506943 

forest 71 : -0.4885719 
forest mean 71 : -0.4012986 
forest RMSE 71 : 0.06261632 

nnet 71 : -0.4290691 
nnet mean 71 : -0.4052506 
nnet RMSE 71 : 0.1374862 


s: 72 
logit 72 : -0.3955625 
logit mean 72 : -0.45072 
logit RMSE 72 : 0.070339 

boosting 72 : -0.2996823 
boosting mean 72 : -0.4326790 
boosting RMSE 72 : 0.1501104 

forest 72 : -0.3323423 
forest mean 72 : -0.4003408 
forest RMSE 72 : 0.06268912 

nnet 72 : -0.3876076 
nnet mean 72 : -0.4050055 
nnet RMSE 72 : 0.1365359 


s: 73 
logit 73 : -0.4749931 
logit mean 73 : -0.4510525 
logit RMSE 73 : 0.07040484 

boosting 73 : -0.4253579 
boosting mean 73 : -0.4325787 
boosting RMSE 73 : 0.1491083 

forest 73 : -0.4922473 
forest mean 73 : -0.4015998 
forest RMSE 73 : 0.0631875 

nnet 73 : -0.4276348 
nnet mean 73 : -0.4053155 
nnet RMSE 73 : 0.1356361 


s: 74 
logit 74 : -0.4029499 
logit mean 74 : -0.4504025 
logit RMSE 74 : 0.06992835 

boosting 74 : -0.376621 
boosting mean 74 : -0.4318225 
boosting RMSE 74 : 0.1481223 

forest 74 : -0.4028798 
forest mean 74 : -0.4016171 
forest RMSE 74 : 0.06276 

nnet 74 : -0.3941611 
nnet mean 74 : -0.4051648 
nnet RMSE 74 : 0.1347182 


s: 75 
logit 75 : -0.4468941 
logit mean 75 : -0.4503557 
logit RMSE 75 : 0.06967134 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 75 : -0.5119956 
boosting mean 75 : -0.4328915 
boosting RMSE 75 : 0.1476987 

forest 75 : -0.3868596 
forest mean 75 : -0.4014204 
forest RMSE 75 : 0.06235866 

nnet 75 : -0.2837138 
nnet mean 75 : -0.4035454 
nnet RMSE 75 : 0.1344891 


s: 76 
logit 76 : -0.4521463 
logit mean 76 : -0.4503793 
logit RMSE 76 : 0.06946945 

boosting 76 : -0.2374982 
boosting mean 76 : -0.4303205 
boosting RMSE 76 : 0.1479031 

forest 76 : -0.3408948 
forest mean 76 : -0.400624 
forest RMSE 76 : 0.06231695 

nnet 76 : -0.3537975 
nnet mean 76 : -0.4028909 
nnet RMSE 76 : 0.1337064 


s: 77 
logit 77 : -0.48476 
logit mean 77 : -0.4508258 
logit RMSE 77 : 0.06968954 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 77 : -0.427294 
boosting mean 77 : -0.4302812 
boosting RMSE 77 : 0.1469725 

forest 77 : -0.4093923 
forest mean 77 : -0.4007378 
forest RMSE 77 : 0.06192023 

nnet 77 : -0.3536995 
nnet mean 77 : -0.402252 
nnet RMSE 77 : 0.1329401 


s: 78 
logit 78 : -0.3909191 
logit mean 78 : -0.4500577 
logit RMSE 78 : 0.069249 

boosting 78 : -0.3950013 
boosting mean 78 : -0.4298289 
boosting RMSE 78 : 0.1460284 

forest 78 : -0.3777687 
forest mean 78 : -0.4004434 
forest RMSE 78 : 0.0615735 

nnet 78 : -0.6546 
nnet mean 78 : -0.4054872 
nnet RMSE 78 : 0.1351944 


s: 79 
logit 79 : -0.5090467 
logit mean 79 : -0.4508044 
logit RMSE 79 : 0.06989452 

boosting 79 : -0.3355018 
boosting mean 79 : -0.4286349 
boosting RMSE 79 : 0.1452826 

forest 79 : -0.387685 
forest mean 79 : -0.4002819 
forest RMSE 79 : 0.06119824 

nnet 79 : -0.4704893 
nnet mean 79 : -0.4063101 
nnet RMSE 79 : 0.1345699 


s: 80 
logit 80 : -0.4220424 
logit mean 80 : -0.4504449 
logit RMSE 80 : 0.06950001 

boosting 80 : -0.3291178 
boosting mean 80 : -0.4273909 
boosting RMSE 80 : 0.1445891 

forest 80 : -0.3737877 
forest mean 80 : -0.3999507 
forest RMSE 80 : 0.06088511 

nnet 80 : -0.3801906 
nnet mean 80 : -0.4059836 
nnet RMSE 80 : 0.1337446 


s: 81 
logit 81 : -0.4500265 
logit mean 81 : -0.4504397 
logit RMSE 81 : 0.06929297 

boosting 81 : -0.4532764 
boosting mean 81 : -0.4277105 
boosting RMSE 81 : 0.1438157 

forest 81 : -0.3412448 
forest mean 81 : -0.3992259 
forest RMSE 81 : 0.06085927 

nnet 81 : -0.2241831 
nnet mean 81 : -0.4037391 
nnet RMSE 81 : 0.1343443 


s: 82 
logit 82 : -0.4967697 
logit mean 82 : -0.4510047 
logit RMSE 82 : 0.06969333 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 82 : -0.6334455 
boosting mean 82 : -0.4302194 
boosting RMSE 82 : 0.1452422 

forest 82 : -0.4272376 
forest mean 82 : -0.3995675 
forest RMSE 82 : 0.06056178 

nnet 82 : -0.6432388 
nnet mean 82 : -0.4066598 
nnet RMSE 82 : 0.1361977 


s: 83 
logit 83 : -0.4136765 
logit mean 83 : -0.450555 
logit RMSE 83 : 0.06928849 

boosting 83 : -0.3592101 
boosting mean 83 : -0.4293639 
boosting RMSE 83 : 0.1444340 

forest 83 : -0.4201813 
forest mean 83 : -0.3998159 
forest RMSE 83 : 0.06023659 

nnet 83 : -0.6072554 
nnet mean 83 : -0.4090767 
nnet RMSE 83 : 0.1372729 


s: 84 
logit 84 : -0.4442088 
logit mean 84 : -0.4504794 
logit RMSE 84 : 0.06904352 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 84 : -0.2388551 
boosting mean 84 : -0.4270959 
boosting RMSE 84 : 0.1446443 

forest 84 : -0.5039329 
forest mean 84 : -0.4010554 
forest RMSE 84 : 0.06094134 

nnet 84 : -0.3688128 
nnet mean 84 : -0.4085973 
nnet RMSE 84 : 0.1364958 


s: 85 
logit 85 : -0.3876519 
logit mean 85 : -0.4497403 
logit RMSE 85 : 0.06864925 

boosting 85 : -0.5441195 
boosting mean 85 : -0.4284727 
boosting RMSE 85 : 0.1446382 

forest 85 : -0.3780278 
forest mean 85 : -0.4007845 
forest RMSE 85 : 0.06062866 

nnet 85 : -0.1952648 
nnet mean 85 : -0.4060875 
nnet RMSE 85 : 0.1374956 


s: 86 
logit 86 : -0.461091 
logit mean 86 : -0.4498723 
logit RMSE 86 : 0.06856615 

boosting 86 : -0.6872512 
boosting mean 86 : -0.4314817 
boosting RMSE 86 : 0.1470932 

forest 86 : -0.4515962 
forest mean 86 : -0.4013753 
forest RMSE 86 : 0.06053138 

nnet 86 : -0.3058116 
nnet mean 86 : -0.4049215 
nnet RMSE 86 : 0.1370707 


s: 87 
logit 87 : -0.4853078 
logit mean 87 : -0.4502796 
logit RMSE 87 : 0.06878173 

boosting 87 : -0.2875678 
boosting mean 87 : -0.4298276 
boosting RMSE 87 : 0.1467413 

forest 87 : -0.2936106 
forest mean 87 : -0.4001366 
forest RMSE 87 : 0.06125383 

nnet 87 : -0.1781617 
nnet mean 87 : -0.4023151 
nnet RMSE 87 : 0.1383405 


s: 88 
logit 88 : -0.4991035 
logit mean 88 : -0.4508344 
logit RMSE 88 : 0.06920097 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 88 : -0.4801371 
boosting mean 88 : -0.4303993 
boosting RMSE 88 : 0.1461550 

forest 88 : -0.4963049 
forest mean 88 : -0.4012295 
forest RMSE 88 : 0.06176398 

nnet 88 : -0.361827 
nnet mean 88 : -0.401855 
nnet RMSE 88 : 0.1376124 


s: 89 
logit 89 : -0.5146083 
logit mean 89 : -0.451551 
logit RMSE 89 : 0.06987527 

boosting 89 : -0.698544 
boosting mean 89 : -0.4334121 
boosting RMSE 89 : 0.1487371 

forest 89 : -0.4392247 
forest mean 89 : -0.4016564 
forest RMSE 89 : 0.06155659 

nnet 89 : -0.4088752 
nnet mean 89 : -0.4019339 
nnet RMSE 89 : 0.1368403 


s: 90 
logit 90 : -0.4467347 
logit mean 90 : -0.4514975 
logit RMSE 90 : 0.0696604 

boosting 90 : -0.3885907 
boosting mean 90 : -0.4329141 
boosting RMSE 90 : 0.1479133 

forest 90 : -0.4524839 
forest mean 90 : -0.4022211 
forest RMSE 90 : 0.06146314 

nnet 90 : -0.4813069 
nnet mean 90 : -0.4028158 
nnet RMSE 90 : 0.1363476 


s: 91 
logit 91 : -0.4319338 
logit mean 91 : -0.4512825 
logit RMSE 91 : 0.06935742 

boosting 91 : -0.1865275 
boosting mean 91 : -0.4302066 
boosting RMSE 91 : 0.1487908 

forest 91 : -0.3935838 
forest mean 91 : -0.4021262 
forest RMSE 91 : 0.0611282 

nnet 91 : -0.3077745 
nnet mean 91 : -0.4017714 
nnet RMSE 91 : 0.1359406 


s: 92 
logit 92 : -0.4207919 
logit mean 92 : -0.4509510 
logit RMSE 92 : 0.0690135 

boosting 92 : -0.4021219 
boosting mean 92 : -0.4299013 
boosting RMSE 92 : 0.1479801 

forest 92 : -0.4310212 
forest mean 92 : -0.4024403 
forest RMSE 92 : 0.06088104 

nnet 92 : -0.6494135 
nnet mean 92 : -0.4044632 
nnet RMSE 92 : 0.1376777 


s: 93 
logit 93 : -0.5619208 
logit mean 93 : -0.4521443 
logit RMSE 93 : 0.07066518 

boosting 93 : -0.7450802 
boosting mean 93 : -0.4332903 
boosting RMSE 93 : 0.1514698 

forest 93 : -0.3593591 
forest mean 93 : -0.401977 
forest RMSE 93 : 0.06069931 

nnet 93 : -0.5074904 
nnet mean 93 : -0.405571 
nnet RMSE 93 : 0.1373883 


s: 94 
logit 94 : -0.4021468 
logit mean 94 : -0.4516124 
logit RMSE 94 : 0.07028864 

boosting 94 : -0.3097136 
boosting mean 94 : -0.4319757 
boosting RMSE 94 : 0.1509494 

forest 94 : -0.4221531 
forest mean 94 : -0.4021917 
forest RMSE 94 : 0.0604188 

nnet 94 : -0.2251928 
nnet mean 94 : -0.4036521 
nnet RMSE 94 : 0.1378399 


s: 95 
logit 95 : -0.4099677 
logit mean 95 : -0.451174 
logit RMSE 95 : 0.0699252 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 95 : -1.032291 
boosting mean 95 : -0.4382948 
boosting RMSE 95 : 0.1635672 

forest 95 : -0.4480354 
forest mean 95 : -0.4026742 
forest RMSE 95 : 0.06030169 

nnet 95 : -0.4969335 
nnet mean 95 : -0.404634 
nnet RMSE 95 : 0.1374727 


s: 96 
logit 96 : -0.4900612 
logit mean 96 : -0.4515791 
logit RMSE 96 : 0.07016474 

boosting 96 : -0.4672662 
boosting mean 96 : -0.4385966 
boosting RMSE 96 : 0.1628578 

forest 96 : -0.4295723 
forest mean 96 : -0.4029544 
forest RMSE 96 : 0.06006268 

nnet 96 : -0.4654248 
nnet mean 96 : -0.4052672 
nnet RMSE 96 : 0.1369177 


s: 97 
logit 97 : -0.5073194 
logit mean 97 : -0.4521537 
logit RMSE 97 : 0.07064754 

boosting 97 : -0.5013667 
boosting mean 97 : -0.4392437 
boosting RMSE 97 : 0.1623428 

forest 97 : -0.3184381 
forest mean 97 : -0.4020831 
forest RMSE 97 : 0.06032342 

nnet 97 : -0.2698106 
nnet mean 97 : -0.4038707 
nnet RMSE 97 : 0.1368501 


s: 98 
logit 98 : -0.4827176 
logit mean 98 : -0.4524656 
logit RMSE 98 : 0.0707811 

boosting 98 : -0.5328587 
boosting mean 98 : -0.4401989 
boosting RMSE 98 : 0.162069 

forest 98 : -0.4728768 
forest mean 98 : -0.4028055 
forest RMSE 98 : 0.06046468 

nnet 98 : -0.3846201 
nnet mean 98 : -0.4036743 
nnet RMSE 98 : 0.1361589 


s: 99 
logit 99 : -0.4553664 
logit mean 99 : -0.4524949 
logit RMSE 99 : 0.07064221 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 99 : -0.5761429 
boosting mean 99 : -0.4415721 
boosting RMSE 99 : 0.1622173 

forest 99 : -0.429269 
forest mean 99 : -0.4030728 
forest RMSE 99 : 0.0602304 

nnet 99 : -0.5078078 
nnet mean 99 : -0.4047262 
nnet RMSE 99 : 0.1359021 


s: 100 
logit 100 : -0.4992352 
logit mean 100 : -0.4529623 
logit RMSE 100 : 0.07098517 

boosting 100 : -0.4958379 
boosting mean 100 : -0.4421148 
boosting RMSE 100 : 0.1616884 

forest 100 : -0.3659508 
forest mean 100 : -0.4027016 
forest RMSE 100 : 0.06002515 

nnet 100 : -0.5566731 
nnet mean 100 : -0.4062456 
nnet RMSE 100 : 0.1361255 


s: 101 
logit 101 : -0.4947981 
logit mean 101 : -0.4533765 
logit RMSE 101 : 0.07125996 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 101 : -0.6022654 
boosting mean 101 : -0.4437004 
boosting RMSE 101 : 0.1621399 

forest 101 : -0.5048541 
forest mean 101 : -0.403713 
forest RMSE 101 : 0.06063168 

nnet 101 : -0.781514 
nnet mean 101 : -0.4099612 
nnet RMSE 101 : 0.1406691 


s: 102 
logit 102 : -0.4982323 
logit mean 102 : -0.4538163 
logit RMSE 102 : 0.07157375 

boosting 102 : -0.1966388 
boosting mean 102 : -0.4412782 
boosting RMSE 102 : 0.1625948 

forest 102 : -0.4322201 
forest mean 102 : -0.4039925 
forest RMSE 102 : 0.06041802 

nnet 102 : -0.3194804 
nnet mean 102 : -0.4090741 
nnet RMSE 102 : 0.1402047 


s: 103 
logit 103 : -0.4635641 
logit mean 103 : -0.4539109 
logit RMSE 103 : 0.0715003 

boosting 103 : -0.49969 
boosting mean 103 : -0.4418453 
boosting RMSE 103 : 0.1621015 

forest 103 : -0.4902903 
forest mean 103 : -0.4048303 
forest RMSE 103 : 0.06077866 

nnet 103 : -0.1989749 
nnet mean 103 : -0.4070343 
nnet RMSE 103 : 0.1409215 


s: 104 
logit 104 : -0.3907327 
logit mean 104 : -0.4533035 
logit RMSE 104 : 0.07116152 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 104 : -0.5107678 
boosting mean 104 : -0.4425081 
boosting RMSE 104 : 0.1616855 

forest 104 : -0.3828351 
forest mean 104 : -0.4046188 
forest RMSE 104 : 0.06050916 

nnet 104 : -0.3486370 
nnet mean 104 : -0.4064728 
nnet RMSE 104 : 0.1403327 


s: 105 
logit 105 : -0.354993 
logit mean 105 : -0.4523672 
logit RMSE 105 : 0.07095791 

boosting 105 : -0.2642071 
boosting mean 105 : -0.44081 
boosting RMSE 105 : 0.1614585 

forest 105 : -0.3601852 
forest mean 105 : -0.4041957 
forest RMSE 105 : 0.06034555 

nnet 105 : -0.4565984 
nnet mean 105 : -0.4069502 
nnet RMSE 105 : 0.1397721 


s: 106 
logit 106 : -0.4398309 
logit mean 106 : -0.4522489 
logit RMSE 106 : 0.0707283 

boosting 106 : -0.4225705 
boosting mean 106 : -0.4406379 
boosting RMSE 106 : 0.1607100 

forest 106 : -0.3659448 
forest mean 106 : -0.4038348 
forest RMSE 106 : 0.06015125 

nnet 106 : -0.62581 
nnet mean 106 : -0.4090149 
nnet RMSE 106 : 0.1408296 


s: 107 
logit 107 : -0.4525655 
logit mean 107 : -0.4522519 
logit RMSE 107 : 0.07058019 

boosting 107 : -0.6235882 
boosting mean 107 : -0.4423477 
boosting RMSE 107 : 0.1614111 

forest 107 : -0.3918241 
forest mean 107 : -0.4037226 
forest RMSE 107 : 0.05987472 

nnet 107 : -0.354124 
nnet mean 107 : -0.4085019 
nnet RMSE 107 : 0.1402401 


s: 108 
logit 108 : -0.4373875 
logit mean 108 : -0.4521142 
logit RMSE 108 : 0.07034473 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 108 : -0.5526134 
boosting mean 108 : -0.4433687 
boosting RMSE 108 : 0.1613319 

forest 108 : -0.4289495 
forest mean 108 : -0.4039561 
forest RMSE 108 : 0.05966195 

nnet 108 : -0.1876860 
nnet mean 108 : -0.4064573 
nnet RMSE 108 : 0.1410764 


s: 109 
logit 109 : -0.3966089 
logit mean 109 : -0.451605 
logit RMSE 109 : 0.07002205 

boosting 109 : -0.3692109 
boosting mean 109 : -0.4426883 
boosting RMSE 109 : 0.1606172 

forest 109 : -0.3728279 
forest mean 109 : -0.4036706 
forest RMSE 109 : 0.05944464 

nnet 109 : -0.7159063 
nnet mean 109 : -0.4092963 
nnet RMSE 109 : 0.1436507 


s: 110 
logit 110 : -0.355829 
logit mean 110 : -0.4507343 
logit RMSE 110 : 0.06983016 

boosting 110 : -0.4176528 
boosting mean 110 : -0.4424607 
boosting RMSE 110 : 0.1598943 

forest 110 : -0.4931966 
forest mean 110 : -0.4044844 
forest RMSE 110 : 0.05983729 

nnet 110 : -0.4409463 
nnet mean 110 : -0.409584 
nnet RMSE 110 : 0.1430496 


s: 111 
logit 111 : -0.4819838 
logit mean 111 : -0.4510158 
logit RMSE 111 : 0.06994908 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 111 : -0.3290664 
boosting mean 111 : -0.4414392 
boosting RMSE 111 : 0.1593147 

forest 111 : -0.3760289 
forest mean 111 : -0.4042281 
forest RMSE 111 : 0.05961058 

nnet 111 : -0.2694142 
nnet mean 111 : -0.4083212 
nnet RMSE 111 : 0.1429421 


s: 112 
logit 112 : -0.4936648 
logit mean 112 : -0.4513966 
logit RMSE 112 : 0.07019629 

boosting 112 : -0.4070287 
boosting mean 112 : -0.4411319 
boosting RMSE 112 : 0.1586033 

forest 112 : -0.3872695 
forest mean 112 : -0.4040767 
forest RMSE 112 : 0.05935606 

nnet 112 : -0.4317222 
nnet mean 112 : -0.4085302 
nnet RMSE 112 : 0.1423341 


s: 113 
logit 113 : -0.3819475 
logit mean 113 : -0.450782 
logit RMSE 113 : 0.06990563 

boosting 113 : -0.4160916 
boosting mean 113 : -0.4409103 
boosting RMSE 113 : 0.1579072 

forest 113 : -0.3575541 
forest mean 113 : -0.4036650 
forest RMSE 113 : 0.05922759 

nnet 113 : -0.3775914 
nnet mean 113 : -0.4082564 
nnet RMSE 113 : 0.1417186 


s: 114 
logit 114 : -0.5242146 
logit mean 114 : -0.4514262 
logit RMSE 114 : 0.07056397 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 114 : -0.3148507 
boosting mean 114 : -0.4398046 
boosting RMSE 114 : 0.1574153 

forest 114 : -0.3736352 
forest mean 114 : -0.4034015 
forest RMSE 114 : 0.05901892 

nnet 114 : -0.5533482 
nnet mean 114 : -0.4095291 
nnet RMSE 114 : 0.1418248 


s: 115 
logit 115 : -0.4396971 
logit mean 115 : -0.4513242 
logit RMSE 115 : 0.07035396 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 115 : -0.5584898 
boosting mean 115 : -0.4408366 
boosting RMSE 115 : 0.1574246 

forest 115 : -0.4436964 
forest mean 115 : -0.4037519 
forest RMSE 115 : 0.05890286 

nnet 115 : -0.505784 
nnet mean 115 : -0.4103661 
nnet RMSE 115 : 0.1415509 


s: 116 
logit 116 : -0.4062094 
logit mean 116 : -0.4509353 
logit RMSE 116 : 0.07005242 

boosting 116 : -0.2817718 
boosting mean 116 : -0.4394654 
boosting RMSE 116 : 0.1571285 

forest 116 : -0.3961069 
forest mean 116 : -0.403686 
forest RMSE 116 : 0.05864954 

nnet 116 : -0.2070789 
nnet mean 116 : -0.4086136 
nnet RMSE 116 : 0.1420732 


s: 117 
logit 117 : -0.4515876 
logit mean 117 : -0.4509408 
logit RMSE 117 : 0.06991527 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 117 : -0.6027153 
boosting mean 117 : -0.4408607 
boosting RMSE 117 : 0.1575740 

forest 117 : -0.4651662 
forest mean 117 : -0.4042115 
forest RMSE 117 : 0.0587083 

nnet 117 : -0.2300362 
nnet mean 117 : -0.4070873 
nnet RMSE 117 : 0.1423347 


s: 118 
logit 118 : -0.484412 
logit mean 118 : -0.4512245 
logit RMSE 118 : 0.07005073 

boosting 118 : -0.2779002 
boosting mean 118 : -0.4394796 
boosting RMSE 118 : 0.1573070 

forest 118 : -0.4062622 
forest mean 118 : -0.4042289 
forest RMSE 118 : 0.05846185 

nnet 118 : -0.4017288 
nnet mean 118 : -0.4070419 
nnet RMSE 118 : 0.1417304 


s: 119 
logit 119 : -0.4461628 
logit mean 119 : -0.451182 
logit RMSE 119 : 0.06988402 

boosting 119 : -0.5341821 
boosting mean 119 : -0.4402754 
boosting RMSE 119 : 0.1571269 

forest 119 : -0.4088617 
forest mean 119 : -0.4042678 
forest RMSE 119 : 0.05822136 

nnet 119 : -0.7674473 
nnet mean 119 : -0.4100705 
nnet RMSE 119 : 0.1450976 


s: 120 
logit 120 : -0.4365953 
logit mean 120 : -0.4510604 
logit RMSE 120 : 0.06967236 

boosting 120 : -0.6284927 
boosting mean 120 : -0.4418439 
boosting RMSE 120 : 0.1578550 

forest 120 : -0.4242071 
forest mean 120 : -0.404434 
forest RMSE 120 : 0.05802036 

nnet 120 : -0.6590953 
nnet mean 120 : -0.4121457 
nnet RMSE 120 : 0.1464148 


s: 121 
logit 121 : -0.4592939 
logit mean 121 : -0.4511284 
logit RMSE 121 : 0.06959293 

boosting 121 : -0.413638 
boosting mean 121 : -0.4416108 
boosting RMSE 121 : 0.1572062 

forest 121 : -0.4298823 
forest mean 121 : -0.4046443 
forest RMSE 121 : 0.05784394 

nnet 121 : -0.4438201 
nnet mean 121 : -0.4124075 
nnet RMSE 121 : 0.1458629 


s: 122 
logit 122 : -0.4350978 
logit mean 122 : -0.4509971 
logit RMSE 122 : 0.06937994 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 122 : -0.2604689 
boosting mean 122 : -0.4401260 
boosting RMSE 122 : 0.1570694 

forest 122 : -0.3283112 
forest mean 122 : -0.4040186 
forest RMSE 122 : 0.05797086 

nnet 122 : -0.4359589 
nnet mean 122 : -0.4126005 
nnet RMSE 122 : 0.1453003 


s: 123 
logit 123 : -0.3780260 
logit mean 123 : -0.4504038 
logit RMSE 123 : 0.06912573 

boosting 123 : -0.4645818 
boosting mean 123 : -0.4403249 
boosting RMSE 123 : 0.1565380 

forest 123 : -0.3981906 
forest mean 123 : -0.4039712 
forest RMSE 123 : 0.05773496 

nnet 123 : -0.4143256 
nnet mean 123 : -0.4126146 
nnet RMSE 123 : 0.1447143 


s: 124 
logit 124 : -0.4939801 
logit mean 124 : -0.4507552 
logit RMSE 124 : 0.0693618 

boosting 124 : -0.5013895 
boosting mean 124 : -0.4408173 
boosting RMSE 124 : 0.1561711 

forest 124 : -0.4064519 
forest mean 124 : -0.4039912 
forest RMSE 124 : 0.0575046 

nnet 124 : -0.460543 
nnet mean 124 : -0.4130011 
nnet RMSE 124 : 0.1442321 


s: 125 
logit 125 : -0.4225408 
logit mean 125 : -0.4505295 
logit RMSE 125 : 0.0691132 

boosting 125 : -0.2125830 
boosting mean 125 : -0.4389915 
boosting RMSE 125 : 0.1564459 

forest 125 : -0.3283296 
forest mean 125 : -0.4033859 
forest RMSE 125 : 0.05763175 

nnet 125 : -0.01995901 
nnet mean 125 : -0.4098568 
nnet RMSE 125 : 0.1476208 


s: 126 
logit 126 : -0.4410097 
logit mean 126 : -0.4504539 
logit RMSE 126 : 0.06893528 

boosting 126 : -0.1074126 
boosting mean 126 : -0.4363599 
boosting RMSE 126 : 0.1579889 

forest 126 : -0.4631981 
forest mean 126 : -0.4038606 
forest RMSE 126 : 0.05767804 

nnet 126 : -0.3035032 
nnet mean 126 : -0.4090127 
nnet RMSE 126 : 0.1472850 


s: 127 
logit 127 : -0.4500233 
logit mean 127 : -0.4504506 
logit RMSE 127 : 0.06880668 

boosting 127 : -0.3876699 
boosting mean 127 : -0.4359765 
boosting RMSE 127 : 0.1573694 

forest 127 : -0.4132573 
forest mean 127 : -0.4039346 
forest RMSE 127 : 0.05746255 

nnet 127 : -0.3701441 
nnet mean 127 : -0.4087066 
nnet RMSE 127 : 0.1467279 


s: 128 
logit 128 : -0.4665901 
logit mean 128 : -0.4505766 
logit RMSE 128 : 0.06878964 

boosting 128 : -0.6270291 
boosting mean 128 : -0.4374691 
boosting RMSE 128 : 0.1580327 

forest 128 : -0.4006851 
forest mean 128 : -0.4039092 
forest RMSE 128 : 0.05723768 

nnet 128 : -0.773807 
nnet mean 128 : -0.411559 
nnet RMSE 128 : 0.1498417 


s: 129 
logit 129 : -0.4092527 
logit mean 129 : -0.4502563 
logit RMSE 129 : 0.06852733 

boosting 129 : -0.09435803 
boosting mean 129 : -0.4348093 
boosting RMSE 129 : 0.1597025 

forest 129 : -0.4199553 
forest mean 129 : -0.4040336 
forest RMSE 129 : 0.05704246 

nnet 129 : -0.1806023 
nnet mean 129 : -0.4097686 
nnet RMSE 129 : 0.1505046 


s: 130 
logit 130 : -0.5341831 
logit mean 130 : -0.4509019 
logit RMSE 130 : 0.06927029 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 130 : -0.4454533 
boosting mean 130 : -0.4348912 
boosting RMSE 130 : 0.1591371 

forest 130 : -0.5168758 
forest mean 130 : -0.4049016 
forest RMSE 130 : 0.05773984 

nnet 130 : -0.4113666 
nnet mean 130 : -0.4097809 
nnet RMSE 130 : 0.1499279 


s: 131 
logit 131 : -0.5021538 
logit mean 131 : -0.4512931 
logit RMSE 131 : 0.0695802 

boosting 131 : -0.4471372 
boosting mean 131 : -0.4349847 
boosting RMSE 131 : 0.158582 

forest 131 : -0.4159648 
forest mean 131 : -0.4049861 
forest RMSE 131 : 0.05753595 

nnet 131 : -0.3603527 
nnet mean 131 : -0.4094036 
nnet RMSE 131 : 0.1493947 


s: 132 
logit 132 : -0.4090986 
logit mean 132 : -0.4509735 
logit RMSE 132 : 0.06932066 

boosting 132 : -0.4074837 
boosting mean 132 : -0.4347763 
boosting RMSE 132 : 0.1579815 

forest 132 : -0.3697001 
forest mean 132 : -0.4047188 
forest RMSE 132 : 0.05737824 

nnet 132 : -0.699126 
nnet mean 132 : -0.4115985 
nnet RMSE 132 : 0.1510879 


s: 133 
logit 133 : -0.4537985 
logit mean 133 : -0.4509947 
logit RMSE 133 : 0.06921694 

boosting 133 : -0.1703906 
boosting mean 133 : -0.4327885 
boosting RMSE 133 : 0.1586408 

forest 133 : -0.4053119 
forest mean 133 : -0.4047232 
forest RMSE 133 : 0.05716398 

nnet 133 : -0.2765966 
nnet mean 133 : -0.4105834 
nnet RMSE 133 : 0.1508987 


s: 134 
logit 134 : -0.505052 
logit mean 134 : -0.4513981 
logit RMSE 134 : 0.06955278 

boosting 134 : -0.3741418 
boosting mean 134 : -0.4323508 
boosting RMSE 134 : 0.1580635 

forest 134 : -0.3390294 
forest mean 134 : -0.404233 
forest RMSE 134 : 0.05719332 

nnet 134 : -0.4160717 
nnet mean 134 : -0.4106244 
nnet RMSE 134 : 0.150341 


s: 135 
logit 135 : -0.4485758 
logit mean 135 : -0.4513772 
logit RMSE 135 : 0.0694207 

boosting 135 : -0.4733007 
boosting mean 135 : -0.4326541 
boosting RMSE 135 : 0.1576033 

forest 135 : -0.3760960 
forest mean 135 : -0.4040246 
forest RMSE 135 : 0.05701823 

nnet 135 : -0.4500442 
nnet mean 135 : -0.4109164 
nnet RMSE 135 : 0.1498450 


s: 136 
logit 136 : -0.3989034 
logit mean 136 : -0.4509914 
logit RMSE 136 : 0.06916507 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 136 : -0.4224313 
boosting mean 136 : -0.432579 
boosting RMSE 136 : 0.1570346 

forest 136 : -0.4881026 
forest mean 136 : -0.4046428 
forest RMSE 136 : 0.05730836 

nnet 136 : -0.4605104 
nnet mean 136 : -0.411281 
nnet RMSE 136 : 0.1493833 


s: 137 
logit 137 : -0.4379763 
logit mean 137 : -0.4508964 
logit RMSE 137 : 0.06898852 

boosting 137 : -0.6067986 
boosting mean 137 : -0.4338506 
boosting RMSE 137 : 0.1574548 

forest 137 : -0.4381695 
forest mean 137 : -0.4048875 
forest RMSE 137 : 0.05719187 

nnet 137 : -0.5933412 
nnet mean 137 : -0.4126099 
nnet RMSE 137 : 0.1497509 


s: 138 
logit 138 : -0.4375192 
logit mean 138 : -0.4507994 
logit RMSE 138 : 0.06881226 

boosting 138 : -0.4896557 
boosting mean 138 : -0.434255 
boosting RMSE 138 : 0.1570688 

forest 138 : -0.4157711 
forest mean 138 : -0.4049664 
forest RMSE 138 : 0.05700009 

nnet 138 : -0.4364541 
nnet mean 138 : -0.4127827 
nnet RMSE 138 : 0.1492396 


s: 139 
logit 139 : -0.509017 
logit mean 139 : -0.4512183 
logit RMSE 139 : 0.06918499 

boosting 139 : -0.3143813 
boosting mean 139 : -0.4333926 
boosting RMSE 139 : 0.1566712 

forest 139 : -0.3863739 
forest mean 139 : -0.4048326 
forest RMSE 139 : 0.05680644 

nnet 139 : -0.4234106 
nnet mean 139 : -0.4128592 
nnet RMSE 139 : 0.1487150 


s: 140 
logit 140 : -0.4375061 
logit mean 140 : -0.4511203 
logit RMSE 140 : 0.0690103 

boosting 140 : -0.3548561 
boosting mean 140 : -0.4328317 
boosting RMSE 140 : 0.1561573 

forest 140 : -0.4510063 
forest mean 140 : -0.4051624 
forest RMSE 140 : 0.05676711 

nnet 140 : -0.3718002 
nnet mean 140 : -0.4125659 
nnet RMSE 140 : 0.1482021 


s: 141 
logit 141 : -0.4425272 
logit mean 141 : -0.4510594 
logit RMSE 141 : 0.06885835 

boosting 141 : -0.660316 
boosting mean 141 : -0.434445 
boosting RMSE 141 : 0.1571393 

forest 141 : -0.4142957 
forest mean 141 : -0.4052272 
forest RMSE 141 : 0.05657826 

nnet 141 : -0.3778057 
nnet mean 141 : -0.4123194 
nnet RMSE 141 : 0.1476875 


s: 142 
logit 142 : -0.459259 
logit mean 142 : -0.4511171 
logit RMSE 142 : 0.06879543 

boosting 142 : -0.5107036 
boosting mean 142 : -0.4349821 
boosting RMSE 142 : 0.1568603 

forest 142 : -0.3195757 
forest mean 142 : -0.404624 
forest RMSE 142 : 0.05678121 

nnet 142 : -0.2835918 
nnet mean 142 : -0.4114128 
nnet RMSE 142 : 0.1474904 


s: 143 
logit 143 : -0.5508094 
logit mean 143 : -0.4518143 
logit RMSE 143 : 0.0697048 

boosting 143 : -0.677594 
boosting mean 143 : -0.4366786 
boosting RMSE 143 : 0.1580252 

forest 143 : -0.4629791 
forest mean 143 : -0.4050321 
forest RMSE 143 : 0.0568269 

nnet 143 : -0.4413738 
nnet mean 143 : -0.4116223 
nnet RMSE 143 : 0.1470145 


s: 144 
logit 144 : -0.469527 
logit mean 144 : -0.4519373 
logit RMSE 144 : 0.06970357 

boosting 144 : -0.5069511 
boosting mean 144 : -0.4371666 
boosting RMSE 144 : 0.1577276 

forest 144 : -0.4240988 
forest mean 144 : -0.4051645 
forest RMSE 144 : 0.05666484 

nnet 144 : -0.3466213 
nnet mean 144 : -0.4111710 
nnet RMSE 144 : 0.1465707 


s: 145 
logit 145 : -0.4295566 
logit mean 145 : -0.4517829 
logit RMSE 145 : 0.06950615 

boosting 145 : -0.3606781 
boosting mean 145 : -0.4366391 
boosting RMSE 145 : 0.1572167 

forest 145 : -0.4440201 
forest mean 145 : -0.4054325 
forest RMSE 145 : 0.05658731 

nnet 145 : -0.4719153 
nnet mean 145 : -0.4115899 
nnet RMSE 145 : 0.1461864 


s: 146 
logit 146 : -0.3801501 
logit mean 146 : -0.4512923 
logit RMSE 146 : 0.06928719 

boosting 146 : -0.5846638 
boosting mean 146 : -0.437653 
boosting RMSE 146 : 0.1574209 

forest 146 : -0.4515293 
forest mean 146 : -0.4057482 
forest RMSE 146 : 0.05655421 

nnet 146 : -0.2828781 
nnet mean 146 : -0.4107083 
nnet RMSE 146 : 0.1460070 


s: 147 
logit 147 : -0.5099982 
logit mean 147 : -0.4516917 
logit RMSE 147 : 0.06964457 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 147 : -0.4398476 
boosting mean 147 : -0.4376679 
boosting RMSE 147 : 0.156919 

forest 147 : -0.4380627 
forest mean 147 : -0.405968 
forest RMSE 147 : 0.05644888 

nnet 147 : -0.4749245 
nnet mean 147 : -0.4111451 
nnet RMSE 147 : 0.1456407 


s: 148 
logit 148 : -0.4512292 
logit mean 148 : -0.4516885 
logit RMSE 148 : 0.06953651 

boosting 148 : -0.3863647 
boosting mean 148 : -0.4373213 
boosting RMSE 148 : 0.156392 

forest 148 : -0.3460432 
forest mean 148 : -0.4055631 
forest RMSE 148 : 0.05643241 

nnet 148 : -0.4787412 
nnet mean 148 : -0.4116019 
nnet RMSE 148 : 0.1452921 


s: 149 
logit 149 : -0.488805 
logit mean 149 : -0.4519376 
logit RMSE 149 : 0.06968359 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 149 : -0.3724888 
boosting mean 149 : -0.4368862 
boosting RMSE 149 : 0.1558826 

forest 149 : -0.4262161 
forest mean 149 : -0.4057017 
forest RMSE 149 : 0.05628372 

nnet 149 : -0.3546742 
nnet mean 149 : -0.4112198 
nnet RMSE 149 : 0.1448513 


s: 150 
logit 150 : -0.4131025 
logit mean 150 : -0.4516787 
logit RMSE 150 : 0.06945916 

boosting 150 : -0.3665719 
boosting mean 150 : -0.4364174 
boosting RMSE 150 : 0.1553861 

forest 150 : -0.4111966 
forest mean 150 : -0.4057384 
forest RMSE 150 : 0.05610324 

nnet 150 : -0.05598359 
nnet mean 150 : -0.4088516 
nnet RMSE 150 : 0.1470748 


s: 151 
logit 151 : -0.4344742 
logit mean 151 : -0.4515648 
logit RMSE 151 : 0.0692856 

boosting 151 : -0.5008354 
boosting mean 151 : -0.436844 
boosting RMSE 151 : 0.1550880 

forest 151 : -0.399946 
forest mean 151 : -0.4057 
forest RMSE 151 : 0.05591716 

nnet 151 : -0.4056616 
nnet mean 151 : -0.4088304 
nnet RMSE 151 : 0.1465878 


s: 152 
logit 152 : -0.5217366 
logit mean 152 : -0.4520265 
logit RMSE 152 : 0.06975967 

boosting 152 : -0.5446549 
boosting mean 152 : -0.4375533 
boosting RMSE 152 : 0.1550216 

forest 152 : -0.4752301 
forest mean 152 : -0.4061574 
forest RMSE 152 : 0.05606596 

nnet 152 : -0.7130682 
nnet mean 152 : -0.410832 
nnet RMSE 152 : 0.1482950 


s: 153 
logit 153 : -0.4444791 
logit mean 153 : -0.4519771 
logit RMSE 153 : 0.06962425 

boosting 153 : -0.4818479 
boosting mean 153 : -0.4378428 
boosting RMSE 153 : 0.1546558 

forest 153 : -0.3368487 
forest mean 153 : -0.4057044 
forest RMSE 153 : 0.05611517 

nnet 153 : -0.4918235 
nnet mean 153 : -0.4113614 
nnet RMSE 153 : 0.1479959 


s: 154 
logit 154 : -0.3984634 
logit mean 154 : -0.4516296 
logit RMSE 154 : 0.06939794 

boosting 154 : -0.3680237 
boosting mean 154 : -0.4373894 
boosting RMSE 154 : 0.1541744 

forest 154 : -0.4427181 
forest mean 154 : -0.4059448 
forest RMSE 154 : 0.05603851 

nnet 154 : -0.3342552 
nnet mean 154 : -0.4108607 
nnet RMSE 154 : 0.1476097 


s: 155 
logit 155 : -0.5337256 
logit mean 155 : -0.4521593 
logit RMSE 155 : 0.07000267 

boosting 155 : -0.2789573 
boosting mean 155 : -0.4363673 
boosting RMSE 155 : 0.1539835 

forest 155 : -0.5099815 
forest mean 155 : -0.406616 
forest RMSE 155 : 0.05655169 

nnet 155 : -0.4071725 
nnet mean 155 : -0.4108369 
nnet RMSE 155 : 0.1471339 


s: 156 
logit 156 : -0.5205136 
logit mean 156 : -0.4525975 
logit RMSE 156 : 0.07044189 

boosting 156 : -0.5311472 
boosting mean 156 : -0.4369749 
boosting RMSE 156 : 0.1538479 

forest 156 : -0.4630409 
forest mean 156 : -0.4069777 
forest RMSE 156 : 0.05659565 

nnet 156 : -0.6569015 
nnet mean 156 : -0.4124142 
nnet RMSE 156 : 0.1480969 


s: 157 
logit 157 : -0.5058769 
logit mean 157 : -0.4529368 
logit RMSE 157 : 0.0707238 

boosting 157 : -0.4429356 
boosting mean 157 : -0.4370128 
boosting RMSE 157 : 0.1533954 

forest 157 : -0.3680822 
forest mean 157 : -0.4067300 
forest RMSE 157 : 0.0564726 

nnet 157 : -0.2591802 
nnet mean 157 : -0.4114382 
nnet RMSE 157 : 0.1480517 


s: 158 
logit 158 : -0.4175495 
logit mean 158 : -0.4527128 
logit RMSE 158 : 0.07051345 

boosting 158 : -0.6999383 
boosting mean 158 : -0.4386769 
boosting RMSE 158 : 0.1547599 

forest 158 : -0.4767185 
forest mean 158 : -0.4071729 
forest RMSE 158 : 0.05662351 

nnet 158 : -0.04878516 
nnet mean 158 : -0.4091429 
nnet RMSE 158 : 0.1502041 


s: 159 
logit 159 : -0.466003 
logit mean 159 : -0.4527964 
logit RMSE 159 : 0.07048599 

boosting 159 : -0.2653253 
boosting mean 159 : -0.4375866 
boosting RMSE 159 : 0.1546417 

forest 159 : -0.406981 
forest mean 159 : -0.4071717 
forest RMSE 159 : 0.05644788 

nnet 159 : -0.4478195 
nnet mean 159 : -0.4093862 
nnet RMSE 159 : 0.1497790 


s: 160 
logit 160 : -0.5163827 
logit mean 160 : -0.4531938 
logit RMSE 160 : 0.07086521 

boosting 160 : -0.5017116 
boosting mean 160 : -0.4379874 
boosting RMSE 160 : 0.1543673 

forest 160 : -0.5012152 
forest mean 160 : -0.4077595 
forest RMSE 160 : 0.05683728 

nnet 160 : -0.3249225 
nnet mean 160 : -0.4088583 
nnet RMSE 160 : 0.1494282 


s: 161 
logit 161 : -0.5071332 
logit mean 161 : -0.4535289 
logit RMSE 161 : 0.07114756 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 161 : -0.3921208 
boosting mean 161 : -0.4377025 
boosting RMSE 161 : 0.1538884 

forest 161 : -0.3710286 
forest mean 161 : -0.4075313 
forest RMSE 161 : 0.05670648 

nnet 161 : -0.4230827 
nnet mean 161 : -0.4089466 
nnet RMSE 161 : 0.1489745 


s: 162 
logit 162 : -0.482696 
logit mean 162 : -0.4537089 
logit RMSE 162 : 0.0712246 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 162 : -0.3667589 
boosting mean 162 : -0.4372646 
boosting RMSE 162 : 0.1534349 

forest 162 : -0.4331773 
forest mean 162 : -0.4076897 
forest RMSE 162 : 0.05659126 

nnet 162 : -0.3000876 
nnet mean 162 : -0.4082747 
nnet RMSE 162 : 0.1487213 


s: 163 
logit 163 : -0.4753438 
logit mean 163 : -0.4538416 
logit RMSE 163 : 0.07125059 

boosting 163 : -0.2632441 
boosting mean 163 : -0.436197 
boosting RMSE 163 : 0.1533381 

forest 163 : -0.4600447 
forest mean 163 : -0.4080109 
forest RMSE 163 : 0.05661308 

nnet 163 : -0.5995156 
nnet mean 163 : -0.4094479 
nnet RMSE 163 : 0.1490857 


s: 164 
logit 164 : -0.4471819 
logit mean 164 : -0.453801 
logit RMSE 164 : 0.07112851 

boosting 164 : -0.6714578 
boosting mean 164 : -0.4376315 
boosting RMSE 164 : 0.1543325 

forest 164 : -0.4686567 
forest mean 164 : -0.4083806 
forest RMSE 164 : 0.05669427 

nnet 164 : -0.5582578 
nnet mean 164 : -0.4103553 
nnet RMSE 164 : 0.1491433 


s: 165 
logit 165 : -0.4771102 
logit mean 165 : -0.4539423 
logit RMSE 165 : 0.07116628 

boosting 165 : -0.5822221 
boosting mean 165 : -0.4385078 
boosting RMSE 165 : 0.1545167 

forest 165 : -0.3314025 
forest mean 165 : -0.4079141 
forest RMSE 165 : 0.05677393 

nnet 165 : -0.3661212 
nnet mean 165 : -0.4100872 
nnet RMSE 165 : 0.1487141 


s: 166 
logit 166 : -0.4738711 
logit mean 166 : -0.4540624 
logit RMSE 166 : 0.07118288 

boosting 166 : -0.2740790 
boosting mean 166 : -0.4375173 
boosting RMSE 166 : 0.1543603 

forest 166 : -0.2529398 
forest mean 166 : -0.4069805 
forest RMSE 166 : 0.05774204 

nnet 166 : -0.07467784 
nnet mean 166 : -0.4080667 
nnet RMSE 166 : 0.1504002 


s: 167 
logit 167 : -0.4794996 
logit mean 167 : -0.4542147 
logit RMSE 167 : 0.07123557 

boosting 167 : -0.5484374 
boosting mean 167 : -0.4381815 
boosting RMSE 167 : 0.1543255 

forest 167 : -0.3885477 
forest mean 167 : -0.4068702 
forest RMSE 167 : 0.05757572 

nnet 167 : -0.4028605 
nnet mean 167 : -0.4080355 
nnet RMSE 167 : 0.1499493 


s: 168 
logit 168 : -0.3940677 
logit mean 168 : -0.4538567 
logit RMSE 168 : 0.07102472 

boosting 168 : -0.392349 
boosting mean 168 : -0.4379087 
boosting RMSE 168 : 0.1538667 

forest 168 : -0.4509009 
forest mean 168 : -0.4071322 
forest RMSE 168 : 0.05753828 

nnet 168 : -0.4682849 
nnet mean 168 : -0.4083941 
nnet RMSE 168 : 0.1495952 


s: 169 
logit 169 : -0.4906132 
logit mean 169 : -0.4540742 
logit RMSE 169 : 0.07115649 

boosting 169 : -0.5394842 
boosting mean 169 : -0.4385097 
boosting RMSE 169 : 0.1537855 

forest 169 : -0.5204574 
forest mean 169 : -0.4078028 
forest RMSE 169 : 0.05811129 

nnet 169 : -0.5140812 
nnet mean 169 : -0.4090195 
nnet RMSE 169 : 0.1494099 


s: 170 
logit 170 : -0.4601801 
logit mean 170 : -0.4541101 
logit RMSE 170 : 0.07109688 

boosting 170 : -0.5521042 
boosting mean 170 : -0.4391779 
boosting RMSE 170 : 0.1537757 

forest 170 : -0.4698676 
forest mean 170 : -0.4081679 
forest RMSE 170 : 0.05818739 

nnet 170 : -0.2417769 
nnet mean 170 : -0.4080357 
nnet RMSE 170 : 0.1494632 


s: 171 
logit 171 : -0.4461636 
logit mean 171 : -0.4540636 
logit RMSE 171 : 0.07097654 

boosting 171 : -0.517379 
boosting mean 171 : -0.4396352 
boosting RMSE 171 : 0.1535879 

forest 171 : -0.3445015 
forest mean 171 : -0.4077956 
forest RMSE 171 : 0.05817203 

nnet 171 : -0.3043452 
nnet mean 171 : -0.4074293 
nnet RMSE 171 : 0.149205 


s: 172 
logit 172 : -0.4861137 
logit mean 172 : -0.4542499 
logit RMSE 172 : 0.07107386 

boosting 172 : -0.5146892 
boosting mean 172 : -0.4400716 
boosting RMSE 172 : 0.1533903 

forest 172 : -0.4467627 
forest mean 172 : -0.4080221 
forest RMSE 172 : 0.05811217 

nnet 172 : -0.3436840 
nnet mean 172 : -0.4070587 
nnet RMSE 172 : 0.1488326 


s: 173 
logit 173 : -0.462602 
logit mean 173 : -0.4542982 
logit RMSE 173 : 0.0710278 

boosting 173 : -0.4226684 
boosting mean 173 : -0.439971 
boosting RMSE 173 : 0.152956 

forest 173 : -0.3068767 
forest mean 173 : -0.4074375 
forest RMSE 173 : 0.05837492 

nnet 173 : -0.2327945 
nnet mean 173 : -0.4060514 
nnet RMSE 173 : 0.1489453 


s: 174 
logit 174 : -0.3040279 
logit mean 174 : -0.4534346 
logit RMSE 174 : 0.07119613 

boosting 174 : -0.1603810 
boosting mean 174 : -0.4383642 
boosting RMSE 174 : 0.1535938 

forest 174 : -0.4060207 
forest mean 174 : -0.4074293 
forest RMSE 174 : 0.05820872 

nnet 174 : 0.008668518 
nnet mean 174 : -0.403668 
nnet RMSE 174 : 0.1517136 


s: 175 
logit 175 : -0.4226874 
logit mean 175 : -0.4532589 
logit RMSE 175 : 0.07101313 

boosting 175 : -0.2156160 
boosting mean 175 : -0.4370913 
boosting RMSE 175 : 0.1537873 

forest 175 : -0.3590506 
forest mean 175 : -0.4071529 
forest RMSE 175 : 0.05812466 

nnet 175 : -0.3089030 
nnet mean 175 : -0.4031264 
nnet RMSE 175 : 0.1514362 


s: 176 
logit 176 : -0.4061998 
logit mean 176 : -0.4529915 
logit RMSE 176 : 0.07081264 

boosting 176 : -0.3337543 
boosting mean 176 : -0.4365042 
boosting RMSE 176 : 0.1534311 

forest 176 : -0.390294 
forest mean 176 : -0.4070571 
forest RMSE 176 : 0.05796391 

nnet 176 : -0.3399433 
nnet mean 176 : -0.4027675 
nnet RMSE 176 : 0.1510732 


s: 177 
logit 177 : -0.4862846 
logit mean 177 : -0.4531796 
logit RMSE 177 : 0.07090954 

boosting 177 : -0.3168209 
boosting mean 177 : -0.435828 
boosting RMSE 177 : 0.1531247 

forest 177 : -0.4205435 
forest mean 177 : -0.4071333 
forest RMSE 177 : 0.05782056 

nnet 177 : -0.4773107 
nnet mean 177 : -0.4031886 
nnet RMSE 177 : 0.1507579 


s: 178 
logit 178 : -0.4498639 
logit mean 178 : -0.453161 
logit RMSE 178 : 0.07080878 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 178 : -0.5306527 
boosting mean 178 : -0.4363607 
boosting RMSE 178 : 0.1530077 

forest 178 : -0.4329884 
forest mean 178 : -0.4072785 
forest RMSE 178 : 0.05771091 

nnet 178 : -0.4785 
nnet mean 178 : -0.4036117 
nnet RMSE 178 : 0.1504489 


s: 179 
logit 179 : -0.3583878 
logit mean 179 : -0.4526315 
logit RMSE 179 : 0.07067918 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 179 : -0.4247859 
boosting mean 179 : -0.4362961 
boosting RMSE 179 : 0.1525909 

forest 179 : -0.3641384 
forest mean 179 : -0.4070375 
forest RMSE 179 : 0.05761187 

nnet 179 : -0.3580638 
nnet mean 179 : -0.4033572 
nnet RMSE 179 : 0.1500608 


s: 180 
logit 180 : -0.4462441 
logit mean 180 : -0.452596 
logit RMSE 180 : 0.0705668 

boosting 180 : -0.3717969 
boosting mean 180 : -0.4359377 
boosting RMSE 180 : 0.152181 

forest 180 : -0.434982 
forest mean 180 : -0.4071928 
forest RMSE 180 : 0.05751075 

nnet 180 : -0.4748992 
nnet mean 180 : -0.4037547 
nnet RMSE 180 : 0.1497475 


s: 181 
logit 181 : -0.4974957 
logit mean 181 : -0.4528441 
logit RMSE 181 : 0.07074375 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 181 : -0.8527146 
boosting mean 181 : -0.4382404 
boosting RMSE 181 : 0.1554459 

forest 181 : -0.4109417 
forest mean 181 : -0.4072135 
forest RMSE 181 : 0.05735742 

nnet 181 : -0.4771577 
nnet mean 181 : -0.4041602 
nnet RMSE 181 : 0.1494433 


s: 182 
logit 182 : -0.4382064 
logit mean 182 : -0.4527637 
logit RMSE 182 : 0.07060595 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 182 : -0.3614911 
boosting mean 182 : -0.4378187 
boosting RMSE 182 : 0.1550445 

forest 182 : -0.306779 
forest mean 182 : -0.4066617 
forest RMSE 182 : 0.0576155 

nnet 182 : -0.4346463 
nnet mean 182 : -0.4043277 
nnet RMSE 182 : 0.1490543 


s: 183 
logit 183 : -0.3964228 
logit mean 183 : -0.4524558 
logit RMSE 183 : 0.07041327 

boosting 183 : -0.4215932 
boosting mean 183 : -0.43773 
boosting RMSE 183 : 0.1546286 

forest 183 : -0.3606731 
forest mean 183 : -0.4064103 
forest RMSE 183 : 0.05753136 

nnet 183 : -0.2843097 
nnet mean 183 : -0.4036719 
nnet RMSE 183 : 0.1488923 


s: 184 
logit 184 : -0.3549353 
logit mean 184 : -0.4519258 
logit RMSE 184 : 0.07030021 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 184 : -0.5605241 
boosting mean 184 : -0.4383974 
boosting RMSE 184 : 0.1546612 

forest 184 : -0.3980409 
forest mean 184 : -0.4063649 
forest RMSE 184 : 0.057375 

nnet 184 : -0.5798543 
nnet mean 184 : -0.4046294 
nnet RMSE 184 : 0.149078 


s: 185 
logit 185 : -0.4282847 
logit mean 185 : -0.451798 
logit RMSE 185 : 0.07014079 

boosting 185 : -0.5209131 
boosting mean 185 : -0.4388434 
boosting RMSE 185 : 0.1544986 

forest 185 : -0.4700068 
forest mean 185 : -0.4067089 
forest RMSE 185 : 0.05745074 

nnet 185 : -0.4890459 
nnet mean 185 : -0.4050857 
nnet RMSE 185 : 0.1488186 


s: 186 
logit 186 : -0.4990563 
logit mean 186 : -0.4520521 
logit RMSE 186 : 0.07032804 

boosting 186 : -0.4456701 
boosting mean 186 : -0.4388801 
boosting RMSE 186 : 0.1541191 

forest 186 : -0.4461222 
forest mean 186 : -0.4069208 
forest RMSE 186 : 0.05739582 

nnet 186 : -0.3888844 
nnet mean 186 : -0.4049986 
nnet RMSE 186 : 0.1484203 


s: 187 
logit 187 : -0.3635371 
logit mean 187 : -0.4515787 
logit RMSE 187 : 0.07019041 

boosting 187 : -0.5660006 
boosting mean 187 : -0.4395599 
boosting RMSE 187 : 0.1541851 

forest 187 : -0.4678887 
forest mean 187 : -0.4072468 
forest RMSE 187 : 0.05745702 

nnet 187 : -0.5214514 
nnet mean 187 : -0.4056214 
nnet RMSE 187 : 0.1482891 


s: 188 
logit 188 : -0.5045921 
logit mean 188 : -0.4518607 
logit RMSE 188 : 0.07041787 

boosting 188 : -0.438948 
boosting mean 188 : -0.4395566 
boosting RMSE 188 : 0.1538007 

forest 188 : -0.4004429 
forest mean 188 : -0.4072106 
forest RMSE 188 : 0.05730402 

nnet 188 : -0.4807573 
nnet mean 188 : -0.406021 
nnet RMSE 188 : 0.1480114 


s: 189 
logit 189 : -0.39133 
logit mean 189 : -0.4515405 
logit RMSE 189 : 0.07023417 

boosting 189 : -0.4869902 
boosting mean 189 : -0.4398076 
boosting RMSE 189 : 0.1535238 

forest 189 : -0.3502319 
forest mean 189 : -0.4069091 
forest RMSE 189 : 0.05726676 

nnet 189 : -0.3441321 
nnet mean 189 : -0.4056936 
nnet RMSE 189 : 0.1476752 


s: 190 
logit 190 : -0.4608985 
logit mean 190 : -0.4515897 
logit RMSE 190 : 0.07018828 

boosting 190 : -0.5224287 
boosting mean 190 : -0.4402424 
boosting RMSE 190 : 0.1533766 

forest 190 : -0.4117934 
forest mean 190 : -0.4069348 
forest RMSE 190 : 0.05712226 

nnet 190 : -0.4008375 
nnet mean 190 : -0.405668 
nnet RMSE 190 : 0.1472861 


s: 191 
logit 191 : -0.4868476 
logit mean 191 : -0.4517743 
logit RMSE 191 : 0.07028579 

boosting 191 : -0.3916339 
boosting mean 191 : -0.4399879 
boosting RMSE 191 : 0.1529758 

forest 191 : -0.3479325 
forest mean 191 : -0.4066259 
forest RMSE 191 : 0.05709696 

nnet 191 : -0.4171101 
nnet mean 191 : -0.4057279 
nnet RMSE 191 : 0.1469053 


s: 192 
logit 192 : -0.4030415 
logit mean 192 : -0.4515205 
logit RMSE 192 : 0.07010286 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 192 : -0.5673905 
boosting mean 192 : -0.4406515 
boosting RMSE 192 : 0.1530544 

forest 192 : -0.3273802 
forest mean 192 : -0.4062132 
forest RMSE 192 : 0.05718873 

nnet 192 : -0.2989922 
nnet mean 192 : -0.405172 
nnet RMSE 192 : 0.1467034 


s: 193 
logit 193 : -0.3841368 
logit mean 193 : -0.4511714 
logit RMSE 193 : 0.06993033 

boosting 193 : -0.3561992 
boosting mean 193 : -0.4402139 
boosting RMSE 193 : 0.1526899 

forest 193 : -0.3997320 
forest mean 193 : -0.4061796 
forest RMSE 193 : 0.05704038 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Warning in MatchLoopCfast(N = s1$N, xvars = Kx, All = s1$All, M = s1$M,  :
  Increasing memory because of ties.  I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.
Warning in MatchLoopCfast(N = s1$N, xvars = Kx, All = s1$All, M = s1$M,  :
  Increasing memory because of ties.  I would be faster with the ties=FALSE option.

nnet 193 : -0.2922738 
nnet mean 193 : -0.404587 
nnet RMSE 193 : 0.1465282 


s: 194 
logit 194 : -0.446457 
logit mean 194 : -0.4511471 
logit RMSE 194 : 0.06982957 

boosting 194 : -0.6423367 
boosting mean 194 : -0.4412558 
boosting RMSE 194 : 0.1532865 

forest 194 : -0.4984054 
forest mean 194 : -0.406655 
forest RMSE 194 : 0.05733018 

nnet 194 : -0.6268253 
nnet mean 194 : -0.4057326 
nnet RMSE 194 : 0.1470546 


s: 195 
logit 195 : -0.4866211 
logit mean 195 : -0.451329 
logit RMSE 195 : 0.06992596 

boosting 195 : -0.5229367 
boosting mean 195 : -0.4416747 
boosting RMSE 195 : 0.1531462 

forest 195 : -0.3648005 
forest mean 195 : -0.4064404 
forest RMSE 195 : 0.05723852 

nnet 195 : -0.5010401 
nnet mean 195 : -0.4062214 
nnet RMSE 195 : 0.1468554 


s: 196 
logit 196 : -0.5096904 
logit mean 196 : -0.4516267 
logit RMSE 196 : 0.07018605 

boosting 196 : -0.2205452 
boosting mean 196 : -0.4405465 
boosting RMSE 196 : 0.1532919 

forest 196 : -0.3013426 
forest mean 196 : -0.4059042 
forest RMSE 196 : 0.05752558 

nnet 196 : -0.5017944 
nnet mean 196 : -0.406709 
nnet RMSE 196 : 0.1466606 


s: 197 
logit 197 : -0.4068544 
logit mean 197 : -0.4513995 
logit RMSE 197 : 0.07000939 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 197 : -0.5803526 
boosting mean 197 : -0.4412561 
boosting RMSE 197 : 0.1534413 

forest 197 : -0.456965 
forest mean 197 : -0.4061633 
forest RMSE 197 : 0.05752275 

nnet 197 : -0.5920063 
nnet mean 197 : -0.4076496 
nnet RMSE 197 : 0.1469261 


s: 198 
logit 198 : -0.3806571 
logit mean 198 : -0.4510422 
logit RMSE 198 : 0.0698459 

boosting 198 : -0.444586 
boosting mean 198 : -0.4412730 
boosting RMSE 198 : 0.1530861 

forest 198 : -0.4011499 
forest mean 198 : -0.406138 
forest RMSE 198 : 0.05737736 

nnet 198 : -0.3414843 
nnet mean 198 : -0.4073154 
nnet RMSE 198 : 0.1466136 


s: 199 
logit 199 : -0.423654 
logit mean 199 : -0.4509046 
logit RMSE 199 : 0.06969036 

boosting 199 : -0.6195454 
boosting mean 199 : -0.4421688 
boosting RMSE 199 : 0.1534920 

forest 199 : -0.4210923 
forest mean 199 : -0.4062132 
forest RMSE 199 : 0.05725254 

nnet 199 : -0.2642220 
nnet mean 199 : -0.4065963 
nnet RMSE 199 : 0.1465612 


s: 200 
logit 200 : -0.4480389 
logit mean 200 : -0.4508902 
logit RMSE 200 : 0.06959886 

boosting 200 : -0.588229 
boosting mean 200 : -0.4428991 
boosting RMSE 200 : 0.1536852 

forest 200 : -0.4217970 
forest mean 200 : -0.4062911 
forest RMSE 200 : 0.05713003 

nnet 200 : -0.2814984 
nnet mean 200 : -0.4059708 
nnet RMSE 200 : 0.1464343 


s: 201 
logit 201 : -0.4441344 
logit mean 201 : -0.4508566 
logit RMSE 201 : 0.06949527 

boosting 201 : -0.5212688 
boosting mean 201 : -0.443289 
boosting RMSE 201 : 0.1535409 

forest 201 : -0.3313133 
forest mean 201 : -0.4059181 
forest RMSE 201 : 0.0571933 

nnet 201 : -0.2784352 
nnet mean 201 : -0.4053363 
nnet RMSE 201 : 0.146321 


s: 202 
logit 202 : -0.5301694 
logit mean 202 : -0.4512492 
logit RMSE 202 : 0.06992543 

boosting 202 : -0.2287628 
boosting mean 202 : -0.442227 
boosting RMSE 202 : 0.1536335 

forest 202 : -0.4275024 
forest mean 202 : -0.4060249 
forest RMSE 202 : 0.05708437 

nnet 202 : -0.2355067 
nnet mean 202 : -0.4044956 
nnet RMSE 202 : 0.1464165 


s: 203 
logit 203 : -0.5007825 
logit mean 203 : -0.4514933 
logit RMSE 203 : 0.07011072 

boosting 203 : -0.4613413 
boosting mean 203 : -0.4423211 
boosting RMSE 203 : 0.1533151 

forest 203 : -0.3283246 
forest mean 203 : -0.4056422 
forest RMSE 203 : 0.05716537 

nnet 203 : -0.3472981 
nnet mean 203 : -0.4042138 
nnet RMSE 203 : 0.1461023 


s: 204 
logit 204 : -0.3966151 
logit mean 204 : -0.4512242 
logit RMSE 204 : 0.06993908 

boosting 204 : -0.2422842 
boosting mean 204 : -0.4413406 
boosting RMSE 204 : 0.153337 

forest 204 : -0.4018551 
forest mean 204 : -0.4056236 
forest RMSE 204 : 0.05702524 

nnet 204 : -0.2340708 
nnet mean 204 : -0.4033798 
nnet RMSE 204 : 0.1462060 


s: 205 
logit 205 : -0.4062663 
logit mean 205 : -0.4510049 
logit RMSE 205 : 0.06976966 

boosting 205 : -0.5945739 
boosting mean 205 : -0.4420880 
boosting RMSE 205 : 0.1535650 

forest 205 : -0.4577971 
forest mean 205 : -0.4058781 
forest RMSE 205 : 0.05702903 

nnet 205 : -0.3360664 
nnet mean 205 : -0.4030514 
nnet RMSE 205 : 0.1459173 


s: 206 
logit 206 : -0.4983392 
logit mean 206 : -0.4512347 
logit RMSE 206 : 0.06993654 

boosting 206 : -0.4064198 
boosting mean 206 : -0.4419149 
boosting RMSE 206 : 0.1531925 

forest 206 : -0.3516288 
forest mean 206 : -0.4056148 
forest RMSE 206 : 0.05699018 

nnet 206 : -0.4163207 
nnet mean 206 : -0.4031159 
nnet RMSE 206 : 0.1455672 


s: 207 
logit 207 : -0.3516296 
logit mean 207 : -0.4507535 
logit RMSE 207 : 0.06984836 

boosting 207 : -0.4109145 
boosting mean 207 : -0.4417651 
boosting RMSE 207 : 0.1528239 

forest 207 : -0.4817489 
forest mean 207 : -0.4059826 
forest RMSE 207 : 0.05713558 

nnet 207 : -0.5035957 
nnet mean 207 : -0.4036013 
nnet RMSE 207 : 0.1453935 


s: 208 
logit 208 : -0.5118123 
logit mean 208 : -0.4510471 
logit RMSE 208 : 0.07011023 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 208 : -0.5201867 
boosting mean 208 : -0.4421422 
boosting RMSE 208 : 0.1526837 

forest 208 : -0.4041496 
forest mean 208 : -0.4059737 
forest RMSE 208 : 0.0569988 

nnet 208 : -0.39248 
nnet mean 208 : -0.4035478 
nnet RMSE 208 : 0.1450445 


s: 209 
logit 209 : -0.4509324 
logit mean 209 : -0.4510465 
logit RMSE 209 : 0.07003097 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 209 : -0.3260291 
boosting mean 209 : -0.4415866 
boosting RMSE 209 : 0.1524039 

forest 209 : -0.2967891 
forest mean 209 : -0.4054513 
forest RMSE 209 : 0.0573087 

nnet 209 : -0.2799082 
nnet mean 209 : -0.4029562 
nnet RMSE 209 : 0.1449354 


s: 210 
logit 210 : -0.447536 
logit mean 210 : -0.4510298 
logit RMSE 210 : 0.069941 

boosting 210 : -0.3992379 
boosting mean 210 : -0.4413849 
boosting RMSE 210 : 0.1520406 

forest 210 : -0.3319319 
forest mean 210 : -0.4051012 
forest RMSE 210 : 0.05736471 

nnet 210 : -0.2430608 
nnet mean 210 : -0.4021948 
nnet RMSE 210 : 0.1449949 


s: 211 
logit 211 : -0.5246826 
logit mean 211 : -0.4513789 
logit RMSE 211 : 0.07030104 

boosting 211 : -0.3574374 
boosting mean 211 : -0.4409871 
boosting RMSE 211 : 0.1517082 

forest 211 : -0.4482377 
forest mean 211 : -0.4053057 
forest RMSE 211 : 0.05732489 

nnet 211 : -0.520019 
nnet mean 211 : -0.4027532 
nnet RMSE 211 : 0.1448867 


s: 212 
logit 212 : -0.5668804 
logit mean 212 : -0.4519237 
logit RMSE 212 : 0.07106537 

boosting 212 : -0.3706761 
boosting mean 212 : -0.4406554 
boosting RMSE 212 : 0.1513634 

forest 212 : -0.4029779 
forest mean 212 : -0.4052947 
forest RMSE 212 : 0.05718989 

nnet 212 : -0.335758 
nnet mean 212 : -0.4024372 
nnet RMSE 212 : 0.1446119 


s: 213 
logit 213 : -0.4540083 
logit mean 213 : -0.4519335 
logit RMSE 213 : 0.07099487 

boosting 213 : -0.5526983 
boosting mean 213 : -0.4411815 
boosting RMSE 213 : 0.1513697 

forest 213 : -0.3957386 
forest mean 213 : -0.4052498 
forest RMSE 213 : 0.05705623 

nnet 213 : -0.5732973 
nnet mean 213 : -0.4032394 
nnet RMSE 213 : 0.1447598 


s: 214 
logit 214 : -0.428302 
logit mean 214 : -0.4518231 
logit RMSE 214 : 0.07085522 

boosting 214 : -0.3850302 
boosting mean 214 : -0.4409191 
boosting RMSE 214 : 0.1510190 

forest 214 : -0.4468265 
forest mean 214 : -0.4054441 
forest RMSE 214 : 0.0570127 

nnet 214 : -0.6060347 
nnet mean 214 : -0.404187 
nnet RMSE 214 : 0.1451064 


s: 215 
logit 215 : -0.493157 
logit mean 215 : -0.4520153 
logit RMSE 215 : 0.07097517 

boosting 215 : -0.2479559 
boosting mean 215 : -0.4400216 
boosting RMSE 215 : 0.1510238 

forest 215 : -0.4245386 
forest mean 215 : -0.4055329 
forest RMSE 215 : 0.05690457 

nnet 215 : -0.2565396 
nnet mean 215 : -0.4035003 
nnet RMSE 215 : 0.1450987 


s: 216 
logit 216 : -0.3542128 
logit mean 216 : -0.4515625 
logit RMSE 216 : 0.07087918 

boosting 216 : -0.5206432 
boosting mean 216 : -0.4403948 
boosting RMSE 216 : 0.1508973 

forest 216 : -0.3987552 
forest mean 216 : -0.4055015 
forest RMSE 216 : 0.05677276 

nnet 216 : -0.4057756 
nnet mean 216 : -0.4035108 
nnet RMSE 216 : 0.144763 


s: 217 
logit 217 : -0.4671063 
logit mean 217 : -0.4516342 
logit RMSE 217 : 0.07086226 

boosting 217 : -0.7479421 
boosting mean 217 : -0.4418121 
boosting RMSE 217 : 0.1523908 

forest 217 : -0.4576817 
forest mean 217 : -0.405742 
forest RMSE 217 : 0.05677698 

nnet 217 : -0.3742706 
nnet mean 217 : -0.4033761 
nnet RMSE 217 : 0.1444396 


s: 218 
logit 218 : -0.3673291 
logit mean 218 : -0.4512474 
logit RMSE 218 : 0.07073416 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 218 : -0.4481016 
boosting mean 218 : -0.4418409 
boosting RMSE 218 : 0.1520758 

forest 218 : -0.4137061 
forest mean 218 : -0.4057785 
forest RMSE 218 : 0.05665421 

nnet 218 : -0.5148928 
nnet mean 218 : -0.4038876 
nnet RMSE 218 : 0.1443179 


s: 219 
logit 219 : -0.5075569 
logit mean 219 : -0.4515046 
logit RMSE 219 : 0.07094575 

boosting 219 : -0.1991457 
boosting mean 219 : -0.4407327 
boosting RMSE 219 : 0.152334 

forest 219 : -0.4496252 
forest mean 219 : -0.4059788 
forest RMSE 219 : 0.0566241 

nnet 219 : -0.3512363 
nnet mean 219 : -0.4036472 
nnet RMSE 219 : 0.1440257 


s: 220 
logit 220 : -0.4841643 
logit mean 220 : -0.451653 
logit RMSE 220 : 0.0710114 

boosting 220 : -0.2702447 
boosting mean 220 : -0.4399578 
boosting RMSE 220 : 0.1522389 

forest 220 : -0.4430355 
forest mean 220 : -0.4061472 
forest RMSE 220 : 0.05656972 

nnet 220 : -0.43603 
nnet mean 220 : -0.4037944 
nnet RMSE 220 : 0.1437186 


s: 221 
logit 221 : -0.5468087 
logit mean 221 : -0.4520836 
logit RMSE 221 : 0.07153549 

boosting 221 : -0.6030872 
boosting mean 221 : -0.4406959 
boosting RMSE 221 : 0.1525072 

forest 221 : -0.4502659 
forest mean 221 : -0.4063468 
forest RMSE 221 : 0.05654278 

nnet 221 : -0.2823744 
nnet mean 221 : -0.403245 
nnet RMSE 221 : 0.1436112 


s: 222 
logit 222 : -0.484044 
logit mean 222 : -0.4522275 
logit RMSE 222 : 0.07159673 

boosting 222 : -0.4153873 
boosting mean 222 : -0.4405819 
boosting RMSE 222 : 0.1521669 

forest 222 : -0.3389528 
forest mean 222 : -0.4060432 
forest RMSE 222 : 0.05656387 

nnet 222 : -0.2135924 
nnet mean 222 : -0.4023907 
nnet RMSE 222 : 0.1438325 


s: 223 
logit 223 : -0.4514499 
logit mean 223 : -0.4522241 
logit RMSE 223 : 0.07151906 

boosting 223 : -0.440562 
boosting mean 223 : -0.4405818 
boosting RMSE 223 : 0.1518496 

forest 223 : -0.3699966 
forest mean 223 : -0.4058816 
forest RMSE 223 : 0.05647266 

nnet 223 : -0.2870276 
nnet mean 223 : -0.4018734 
nnet RMSE 223 : 0.1437089 


s: 224 
logit 224 : -0.4430724 
logit mean 224 : -0.4521832 
logit RMSE 224 : 0.07141725 

boosting 224 : -0.4307242 
boosting mean 224 : -0.4405378 
boosting RMSE 224 : 0.1515242 

forest 224 : -0.3317293 
forest mean 224 : -0.4055506 
forest RMSE 224 : 0.0565308 

nnet 224 : -0.3161255 
nnet mean 224 : -0.4014906 
nnet RMSE 224 : 0.1434972 


s: 225 
logit 225 : -0.4712114 
logit mean 225 : -0.4522678 
logit RMSE 225 : 0.07141633 

boosting 225 : -0.4479709 
boosting mean 225 : -0.4405709 
boosting RMSE 225 : 0.1512209 

forest 225 : -0.3964551 
forest mean 225 : -0.4055101 
forest RMSE 225 : 0.05640553 

nnet 225 : -0.4254826 
nnet mean 225 : -0.4015972 
nnet RMSE 225 : 0.1431881 


s: 226 
logit 226 : -0.4508478 
logit mean 226 : -0.4522615 
logit RMSE 226 : 0.07133839 

boosting 226 : -0.5713002 
boosting mean 226 : -0.4411493 
boosting RMSE 226 : 0.1513156 

forest 226 : -0.5021116 
forest mean 226 : -0.4059376 
forest RMSE 226 : 0.056689 

nnet 226 : -0.634853 
nnet mean 226 : -0.4026293 
nnet RMSE 226 : 0.1437225 


s: 227 
logit 227 : -0.4150066 
logit mean 227 : -0.4520974 
logit RMSE 227 : 0.07118805 

boosting 227 : -0.2220115 
boosting mean 227 : -0.4401839 
boosting RMSE 227 : 0.1514434 

forest 227 : -0.2747033 
forest mean 227 : -0.4053595 
forest RMSE 227 : 0.05717206 

nnet 227 : -0.3130694 
nnet mean 227 : -0.4022348 
nnet RMSE 227 : 0.1435216 


s: 228 
logit 228 : -0.4420017 
logit mean 228 : -0.4520531 
logit RMSE 228 : 0.0710862 

boosting 228 : -0.597635 
boosting mean 228 : -0.4408745 
boosting RMSE 228 : 0.1516767 

forest 228 : -0.4068452 
forest mean 228 : -0.405366 
forest RMSE 228 : 0.05704835 

nnet 228 : -0.4100374 
nnet mean 228 : -0.402269 
nnet RMSE 228 : 0.1432081 


s: 229 
logit 229 : -0.5290186 
logit mean 229 : -0.4523892 
logit RMSE 229 : 0.07144138 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 229 : -0.490825 
boosting mean 229 : -0.4410926 
boosting RMSE 229 : 0.1514641 

forest 229 : -0.4060927 
forest mean 229 : -0.4053691 
forest RMSE 229 : 0.05692508 

nnet 229 : -0.5148708 
nnet mean 229 : -0.4027607 
nnet RMSE 229 : 0.1430965 


s: 230 
logit 230 : -0.4187392 
logit mean 230 : -0.4522429 
logit RMSE 230 : 0.07129661 

boosting 230 : -0.6470969 
boosting mean 230 : -0.4419883 
boosting RMSE 230 : 0.1520102 

forest 230 : -0.3426623 
forest mean 230 : -0.4050965 
forest RMSE 230 : 0.05692688 

nnet 230 : -0.6632194 
nnet mean 230 : -0.4038931 
nnet RMSE 230 : 0.1438361 


s: 231 
logit 231 : -0.4657378 
logit mean 231 : -0.4523013 
logit RMSE 231 : 0.07127348 

boosting 231 : -0.4592575 
boosting mean 231 : -0.4420631 
boosting RMSE 231 : 0.1517309 

forest 231 : -0.3983333 
forest mean 231 : -0.4050672 
forest RMSE 231 : 0.05680363 

nnet 231 : -0.2665969 
nnet mean 231 : -0.4032988 
nnet RMSE 231 : 0.1437926 


s: 232 
logit 232 : -0.4200234 
logit mean 232 : -0.4521622 
logit RMSE 232 : 0.07113186 

boosting 232 : -0.3953669 
boosting mean 232 : -0.4418618 
boosting RMSE 232 : 0.1514039 

forest 232 : -0.4454555 
forest mean 232 : -0.4052413 
forest RMSE 232 : 0.05675959 

nnet 232 : -0.2899103 
nnet mean 232 : -0.40281 
nnet RMSE 232 : 0.1436643 


s: 233 
logit 233 : -0.4563624 
logit mean 233 : -0.4521802 
logit RMSE 233 : 0.07107503 

boosting 233 : -0.2115198 
boosting mean 233 : -0.4408732 
boosting RMSE 233 : 0.1515824 

forest 233 : -0.3110349 
forest mean 233 : -0.404837 
forest RMSE 233 : 0.05693674 

nnet 233 : -0.1367516 
nnet mean 233 : -0.4016681 
nnet RMSE 233 : 0.1443893 


s: 234 
logit 234 : -0.4668231 
logit mean 234 : -0.4522428 
logit RMSE 234 : 0.0710574 

boosting 234 : -0.3223322 
boosting mean 234 : -0.4403666 
boosting RMSE 234 : 0.1513433 

forest 234 : -0.4002192 
forest mean 234 : -0.4048173 
forest RMSE 234 : 0.05681496 

nnet 234 : -0.5223099 
nnet mean 234 : -0.4021837 
nnet RMSE 234 : 0.1443021 


s: 235 
logit 235 : -0.4358443 
logit mean 235 : -0.452173 
logit RMSE 235 : 0.0709446 

boosting 235 : -0.4160336 
boosting mean 235 : -0.4402631 
boosting RMSE 235 : 0.1510246 

forest 235 : -0.4948278 
forest mean 235 : -0.4052003 
forest RMSE 235 : 0.05703042 

nnet 235 : -0.6080161 
nnet mean 235 : -0.4030596 
nnet RMSE 235 : 0.1446327 


s: 236 
logit 236 : -0.5736123 
logit mean 236 : -0.4526876 
logit RMSE 236 : 0.07169049 

boosting 236 : -0.4035611 
boosting mean 236 : -0.4401076 
boosting RMSE 236 : 0.1507045 

forest 236 : -0.4140421 
forest mean 236 : -0.4052378 
forest RMSE 236 : 0.0569168 

nnet 236 : -0.2660104 
nnet mean 236 : -0.4024789 
nnet RMSE 236 : 0.1445893 


s: 237 
logit 237 : -0.4630892 
logit mean 237 : -0.4527315 
logit RMSE 237 : 0.07165636 

boosting 237 : -0.4979544 
boosting mean 237 : -0.4403516 
boosting RMSE 237 : 0.1505207 

forest 237 : -0.4470597 
forest mean 237 : -0.4054142 
forest RMSE 237 : 0.0568788 

nnet 237 : -0.3961834 
nnet mean 237 : -0.4024523 
nnet RMSE 237 : 0.1442841 


s: 238 
logit 238 : -0.4064453 
logit mean 238 : -0.452537 
logit RMSE 238 : 0.07150689 

boosting 238 : -0.5183084 
boosting mean 238 : -0.4406792 
boosting RMSE 238 : 0.1503998 

forest 238 : -0.4604962 
forest mean 238 : -0.4056457 
forest RMSE 238 : 0.05689448 

nnet 238 : -0.5396991 
nnet mean 238 : -0.403029 
nnet RMSE 238 : 0.1442652 


s: 239 
logit 239 : -0.5302365 
logit mean 239 : -0.4528621 
logit RMSE 239 : 0.07185269 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 239 : -0.2951615 
boosting mean 239 : -0.4400703 
boosting RMSE 239 : 0.150238 

forest 239 : -0.498638 
forest mean 239 : -0.4060347 
forest RMSE 239 : 0.05713271 

nnet 239 : -0.3984615 
nnet mean 239 : -0.4030099 
nnet RMSE 239 : 0.1439631 


s: 240 
logit 240 : -0.4720273 
logit mean 240 : -0.4529419 
logit RMSE 240 : 0.07185342 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 240 : -0.3814504 
boosting mean 240 : -0.4398261 
boosting RMSE 240 : 0.1499294 

forest 240 : -0.3513943 
forest mean 240 : -0.4058071 
forest RMSE 240 : 0.05709983 

nnet 240 : -0.6328418 
nnet mean 240 : -0.4039675 
nnet RMSE 240 : 0.1444469 


s: 241 
logit 241 : -0.3832527 
logit mean 241 : -0.4526528 
logit RMSE 241 : 0.0717123 

boosting 241 : -0.4124718 
boosting mean 241 : -0.4397126 
boosting RMSE 241 : 0.1496202 

forest 241 : -0.4313604 
forest mean 241 : -0.4059131 
forest RMSE 241 : 0.05701704 

nnet 241 : -0.529661 
nnet mean 241 : -0.4044890 
nnet RMSE 241 : 0.1443887 


s: 242 
logit 242 : -0.4210236 
logit mean 242 : -0.4525221 
logit RMSE 242 : 0.07157675 

boosting 242 : -0.5794615 
boosting mean 242 : -0.4402901 
boosting RMSE 242 : 0.1497558 

forest 242 : -0.3483009 
forest mean 242 : -0.405675 
forest RMSE 242 : 0.05699608 

nnet 242 : -0.5655708 
nnet mean 242 : -0.4051547 
nnet RMSE 242 : 0.1444826 


s: 243 
logit 243 : -0.5045297 
logit mean 243 : -0.4527361 
logit RMSE 243 : 0.07174338 

boosting 243 : -0.5353517 
boosting mean 243 : -0.4406813 
boosting RMSE 243 : 0.1496993 

forest 243 : -0.447711 
forest mean 243 : -0.405848 
forest RMSE 243 : 0.05696097 

nnet 243 : -0.3451493 
nnet mean 243 : -0.4049077 
nnet RMSE 243 : 0.1442279 


s: 244 
logit 244 : -0.5066586 
logit mean 244 : -0.4529571 
logit RMSE 244 : 0.07192107 

boosting 244 : -0.6297169 
boosting mean 244 : -0.441456 
boosting RMSE 244 : 0.1501143 

forest 244 : -0.4218173 
forest mean 244 : -0.4059135 
forest RMSE 244 : 0.05686129 

nnet 244 : -0.6188741 
nnet mean 244 : -0.4057846 
nnet RMSE 244 : 0.1446125 


s: 245 
logit 245 : -0.4544703 
logit mean 245 : -0.4529633 
logit RMSE 245 : 0.07185846 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 245 : -0.4548343 
boosting mean 245 : -0.4415106 
boosting RMSE 245 : 0.1498486 

forest 245 : -0.4282296 
forest mean 245 : -0.4060046 
forest RMSE 245 : 0.05677378 

nnet 245 : -0.5232622 
nnet mean 245 : -0.4062641 
nnet RMSE 245 : 0.1445318 


s: 246 
logit 246 : -0.4036482 
logit mean 246 : -0.4527628 
logit RMSE 246 : 0.07171263 

boosting 246 : -0.47624 
boosting mean 246 : -0.4416518 
boosting RMSE 246 : 0.1496227 

forest 246 : -0.4315029 
forest mean 246 : -0.4061082 
forest RMSE 246 : 0.05669386 

nnet 246 : -0.6183872 
nnet mean 246 : -0.4071264 
nnet RMSE 246 : 0.1449082 


s: 247 
logit 247 : -0.4243327 
logit mean 247 : -0.4526477 
logit RMSE 247 : 0.07158406 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 247 : -0.4507886 
boosting mean 247 : -0.4416888 
boosting RMSE 247 : 0.1493545 

forest 247 : -0.3803904 
forest mean 247 : -0.4060041 
forest RMSE 247 : 0.05659273 

nnet 247 : -0.3136500 
nnet mean 247 : -0.406748 
nnet RMSE 247 : 0.1447189 


s: 248 
logit 248 : -0.3798426 
logit mean 248 : -0.4523541 
logit RMSE 248 : 0.07145106 

boosting 248 : -0.3792613 
boosting mean 248 : -0.441437 
boosting RMSE 248 : 0.1490589 

forest 248 : -0.4589696 
forest mean 248 : -0.4062177 
forest RMSE 248 : 0.05660252 

nnet 248 : -0.2060353 
nnet mean 248 : -0.4059387 
nnet RMSE 248 : 0.1449511 


s: 249 
logit 249 : -0.4807544 
logit mean 249 : -0.4524682 
logit RMSE 249 : 0.07149085 

boosting 249 : -0.1044409 
boosting mean 249 : -0.4400836 
boosting RMSE 249 : 0.1499338 

forest 249 : -0.3101083 
forest mean 249 : -0.4058317 
forest RMSE 249 : 0.05677526 

nnet 249 : -0.4608632 
nnet mean 249 : -0.4061592 
nnet RMSE 249 : 0.1447111 


s: 250 
logit 250 : -0.3884246 
logit mean 250 : -0.452212 
logit RMSE 250 : 0.07135148 

boosting 250 : -0.4031798 
boosting mean 250 : -0.439936 
boosting RMSE 250 : 0.1496338 

forest 250 : -0.4775001 
forest mean 250 : -0.4061184 
forest RMSE 250 : 0.0568732 

nnet 250 : -0.491193 
nnet mean 250 : -0.4064994 
nnet RMSE 250 : 0.1445365 


s: 251 
logit 251 : -0.475973 
logit mean 251 : -0.4523067 
logit RMSE 251 : 0.07137048 

boosting 251 : -0.1354348 
boosting mean 251 : -0.4387229 
boosting RMSE 251 : 0.1502662 

forest 251 : -0.4378372 
forest mean 251 : -0.4062447 
forest RMSE 251 : 0.05681002 

nnet 251 : -0.2708266 
nnet mean 251 : -0.4059589 
nnet RMSE 251 : 0.1444786 


s: 252 
logit 252 : -0.3895989 
logit mean 252 : -0.4520578 
logit RMSE 252 : 0.07123175 

boosting 252 : -0.7176347 
boosting mean 252 : -0.4398297 
boosting RMSE 252 : 0.1512967 

forest 252 : -0.5044077 
forest mean 252 : -0.4066343 
forest RMSE 252 : 0.0570774 

nnet 252 : -0.332093 
nnet mean 252 : -0.4056657 
nnet RMSE 252 : 0.1442551 


s: 253 
logit 253 : -0.3928533 
logit mean 253 : -0.4518238 
logit RMSE 253 : 0.07109225 

boosting 253 : -0.3574556 
boosting mean 253 : -0.4395041 
boosting RMSE 253 : 0.1510211 

forest 253 : -0.3684872 
forest mean 253 : -0.4064835 
forest RMSE 253 : 0.05699893 

nnet 253 : -0.3617538 
nnet mean 253 : -0.4054922 
nnet RMSE 253 : 0.1439898 


s: 254 
logit 254 : -0.4549022 
logit mean 254 : -0.4518359 
logit RMSE 254 : 0.07103575 

boosting 254 : -0.4325156 
boosting mean 254 : -0.4394766 
boosting RMSE 254 : 0.1507373 

forest 254 : -0.460766 
forest mean 254 : -0.4066972 
forest RMSE 254 : 0.05701424 

nnet 254 : -0.4728877 
nnet mean 254 : -0.4057575 
nnet RMSE 254 : 0.1437788 


s: 255 
logit 255 : -0.4048924 
logit mean 255 : -0.4516518 
logit RMSE 255 : 0.07089699 

boosting 255 : -0.4370234 
boosting mean 255 : -0.4394669 
boosting RMSE 255 : 0.1504593 

forest 255 : -0.4252271 
forest mean 255 : -0.4067699 
forest RMSE 255 : 0.05692427 

nnet 255 : -0.4920127 
nnet mean 255 : -0.4060958 
nnet RMSE 255 : 0.1436122 


s: 256 
logit 256 : -0.4682132 
logit mean 256 : -0.4517165 
logit RMSE 256 : 0.0708867 

boosting 256 : -0.4247842 
boosting mean 256 : -0.4394096 
boosting RMSE 256 : 0.1501732 

forest 256 : -0.3157765 
forest mean 256 : -0.4064144 
forest RMSE 256 : 0.05705632 

nnet 256 : -0.4821749 
nnet mean 256 : -0.4063929 
nnet RMSE 256 : 0.1434235 


s: 257 
logit 257 : -0.5175832 
logit mean 257 : -0.4519728 
logit RMSE 257 : 0.07112784 

boosting 257 : -0.5020927 
boosting mean 257 : -0.4396535 
boosting RMSE 257 : 0.1500159 

forest 257 : -0.4708988 
forest mean 257 : -0.4066653 
forest RMSE 257 : 0.05711669 

nnet 257 : -0.3692529 
nnet mean 257 : -0.4062484 
nnet RMSE 257 : 0.143157 


s: 258 
logit 258 : -0.4892812 
logit mean 258 : -0.4521174 
logit RMSE 258 : 0.07120713 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 258 : -0.5555074 
boosting mean 258 : -0.4401025 
boosting RMSE 258 : 0.1500376 

forest 258 : -0.343878 
forest mean 258 : -0.406422 
forest RMSE 258 : 0.05711286 

nnet 258 : -0.4188288 
nnet mean 258 : -0.4062972 
nnet RMSE 258 : 0.1428841 


s: 259 
logit 259 : -0.4752755 
logit mean 259 : -0.4522068 
logit RMSE 259 : 0.07122329 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 259 : -0.5201088 
boosting mean 259 : -0.4404114 
boosting RMSE 259 : 0.1499335 

forest 259 : -0.4407639 
forest mean 259 : -0.4065546 
forest RMSE 259 : 0.05705875 

nnet 259 : -0.6335599 
nnet mean 259 : -0.4071747 
nnet RMSE 259 : 0.1433446 


s: 260 
logit 260 : -0.510759 
logit mean 260 : -0.4524320 
logit RMSE 260 : 0.07141729 

boosting 260 : -0.6278619 
boosting mean 260 : -0.4411324 
boosting RMSE 260 : 0.1503107 

forest 260 : -0.3247407 
forest mean 260 : -0.4062399 
forest RMSE 260 : 0.05713986 

nnet 260 : -0.4888613 
nnet mean 260 : -0.4074888 
nnet RMSE 260 : 0.1431747 


s: 261 
logit 261 : -0.4522726 
logit mean 261 : -0.4524314 
logit RMSE 261 : 0.07135374 

boosting 261 : -0.4124813 
boosting mean 261 : -0.4410226 
boosting RMSE 261 : 0.1500245 

forest 261 : -0.394173 
forest mean 261 : -0.4061937 
forest RMSE 261 : 0.05703143 

nnet 261 : -0.1800274 
nnet mean 261 : -0.4066173 
nnet RMSE 261 : 0.1435474 


s: 262 
logit 262 : -0.4696937 
logit mean 262 : -0.4524973 
logit RMSE 262 : 0.07134748 

boosting 262 : -0.4912146 
boosting mean 262 : -0.4412142 
boosting RMSE 262 : 0.1498439 

forest 262 : -0.4141925 
forest mean 262 : -0.4062242 
forest RMSE 262 : 0.05692924 

nnet 262 : -0.6717388 
nnet mean 262 : -0.4076292 
nnet RMSE 262 : 0.1442534 


s: 263 
logit 263 : -0.4702953 
logit mean 263 : -0.452565 
logit RMSE 263 : 0.07134351 

boosting 263 : -0.2413028 
boosting mean 263 : -0.4404541 
boosting RMSE 263 : 0.1498785 

forest 263 : -0.5286114 
forest mean 263 : -0.4066895 
forest RMSE 263 : 0.05737167 

nnet 263 : -0.3216044 
nnet mean 263 : -0.4073022 
nnet RMSE 263 : 0.1440600 


s: 264 
logit 264 : -0.3601582 
logit mean 264 : -0.452215 
logit RMSE 264 : 0.07125047 

boosting 264 : -0.2945180 
boosting mean 264 : -0.4399013 
boosting RMSE 264 : 0.1497352 

forest 264 : -0.3595926 
forest mean 264 : -0.4065111 
forest RMSE 264 : 0.05731689 

nnet 264 : -0.4270741 
nnet mean 264 : -0.4073771 
nnet RMSE 264 : 0.1437966 


s: 265 
logit 265 : -0.4437169 
logit mean 265 : -0.4521829 
logit RMSE 265 : 0.07116659 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 265 : -0.4811434 
boosting mean 265 : -0.4400569 
boosting RMSE 265 : 0.1495355 

forest 265 : -0.3957653 
forest mean 265 : -0.4064706 
forest RMSE 265 : 0.05720923 

nnet 265 : -0.3997027 
nnet mean 265 : -0.4073481 
nnet RMSE 265 : 0.1435250 


s: 266 
logit 266 : -0.5322286 
logit mean 266 : -0.4524838 
logit RMSE 266 : 0.07149388 

boosting 266 : -0.2477588 
boosting mean 266 : -0.439334 
boosting RMSE 266 : 0.1495458 

forest 266 : -0.4532016 
forest mean 266 : -0.4066463 
forest RMSE 266 : 0.05719469 

nnet 266 : -0.2361454 
nnet mean 266 : -0.4067045 
nnet RMSE 266 : 0.1436068 


s: 267 
logit 267 : -0.3956774 
logit mean 267 : -0.4522711 
logit RMSE 267 : 0.07136036 

boosting 267 : -0.5214967 
boosting mean 267 : -0.4396417 
boosting RMSE 267 : 0.1494505 

forest 267 : -0.4814569 
forest mean 267 : -0.4069265 
forest RMSE 267 : 0.05730473 

nnet 267 : -0.4768295 
nnet mean 267 : -0.4069671 
nnet RMSE 267 : 0.1434148 


s: 268 
logit 268 : -0.4697827 
logit mean 268 : -0.4523364 
logit RMSE 268 : 0.07135454 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 268 : -0.5911186 
boosting mean 268 : -0.4402069 
boosting RMSE 268 : 0.1496276 

forest 268 : -0.4032256 
forest mean 268 : -0.4069126 
forest RMSE 268 : 0.05719805 

nnet 268 : -0.3391398 
nnet mean 268 : -0.406714 
nnet RMSE 268 : 0.1431952 


s: 269 
logit 269 : -0.5290472 
logit mean 269 : -0.4526216 
logit RMSE 269 : 0.07165508 

boosting 269 : -0.5138137 
boosting mean 269 : -0.4404806 
boosting RMSE 269 : 0.1495103 

forest 269 : -0.3741383 
forest mean 269 : -0.4067908 
forest RMSE 269 : 0.05711341 

nnet 269 : -0.6828735 
nnet mean 269 : -0.4077406 
nnet RMSE 269 : 0.1439656 


s: 270 
logit 270 : -0.49148 
logit mean 270 : -0.4527655 
logit RMSE 270 : 0.07173861 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 270 : -0.4397783 
boosting mean 270 : -0.440478 
boosting RMSE 270 : 0.1492528 

forest 270 : -0.4195303 
forest mean 270 : -0.406838 
forest RMSE 270 : 0.05701994 

nnet 270 : -0.5630225 
nnet mean 270 : -0.4083158 
nnet RMSE 270 : 0.1440409 


s: 271 
logit 271 : -0.401182 
logit mean 271 : -0.4525752 
logit RMSE 271 : 0.07160617 

boosting 271 : -0.5323963 
boosting mean 271 : -0.4408172 
boosting RMSE 271 : 0.1491941 

forest 271 : -0.4748846 
forest mean 271 : -0.4070891 
forest RMSE 271 : 0.05709613 

nnet 271 : -0.6054065 
nnet mean 271 : -0.409043 
nnet RMSE 271 : 0.1443153 


s: 272 
logit 272 : -0.4887223 
logit mean 272 : -0.4527080 
logit RMSE 272 : 0.07167658 

boosting 272 : -0.5273621 
boosting mean 272 : -0.4411353 
boosting RMSE 272 : 0.1491197 

forest 272 : -0.3531969 
forest mean 272 : -0.4068910 
forest RMSE 272 : 0.05706169 

nnet 272 : -0.4873164 
nnet mean 272 : -0.4093308 
nnet RMSE 272 : 0.1441470 


s: 273 
logit 273 : -0.4597335 
logit mean 273 : -0.4527338 
logit RMSE 273 : 0.07163647 

boosting 273 : -0.5930961 
boosting mean 273 : -0.441692 
boosting RMSE 273 : 0.1493045 

forest 273 : -0.4379403 
forest mean 273 : -0.4070047 
forest RMSE 273 : 0.05700336 

nnet 273 : -0.4941172 
nnet mean 273 : -0.4096414 
nnet RMSE 273 : 0.1439955 


s: 274 
logit 274 : -0.4813278 
logit mean 274 : -0.4528381 
logit RMSE 274 : 0.07167422 

boosting 274 : -0.398314 
boosting mean 274 : -0.4415336 
boosting RMSE 274 : 0.1490318 

forest 274 : -0.3653189 
forest mean 274 : -0.4068526 
forest RMSE 274 : 0.0569378 

nnet 274 : -0.3341938 
nnet mean 274 : -0.409366 
nnet RMSE 274 : 0.1437874 


s: 275 
logit 275 : -0.3949166 
logit mean 275 : -0.4526275 
logit RMSE 275 : 0.07154444 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 275 : -0.4633787 
boosting mean 275 : -0.4416131 
boosting RMSE 275 : 0.1488097 

forest 275 : -0.3677656 
forest mean 275 : -0.4067104 
forest RMSE 275 : 0.05686741 

nnet 275 : -0.4867554 
nnet mean 275 : -0.4096474 
nnet RMSE 275 : 0.1436211 


s: 276 
logit 276 : -0.4259924 
logit mean 276 : -0.452531 
logit RMSE 276 : 0.07143185 

boosting 276 : -0.3504421 
boosting mean 276 : -0.4412828 
boosting RMSE 276 : 0.1485698 

forest 276 : -0.2927241 
forest mean 276 : -0.4062974 
forest RMSE 276 : 0.05713039 

nnet 276 : -0.276123 
nnet mean 276 : -0.4091636 
nnet RMSE 276 : 0.1435545 


s: 277 
logit 277 : -0.3874513 
logit mean 277 : -0.4522961 
logit RMSE 277 : 0.07130678 

boosting 277 : -0.5414863 
boosting mean 277 : -0.4416445 
boosting RMSE 277 : 0.1485448 

forest 277 : -0.4861759 
forest mean 277 : -0.4065858 
forest RMSE 277 : 0.05726176 

nnet 277 : -0.5912006 
nnet mean 277 : -0.4098208 
nnet RMSE 277 : 0.1437549 


s: 278 
logit 278 : -0.4448724 
logit mean 278 : -0.4522694 
logit RMSE 278 : 0.07122928 

boosting 278 : -0.425782 
boosting mean 278 : -0.4415874 
boosting RMSE 278 : 0.1482855 

forest 278 : -0.3947776 
forest mean 278 : -0.4065433 
forest RMSE 278 : 0.05715953 

nnet 278 : -0.446973 
nnet mean 278 : -0.4099545 
nnet RMSE 278 : 0.1435237 


s: 279 
logit 279 : -0.4107339 
logit mean 279 : -0.4521205 
logit RMSE 279 : 0.07110441 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 279 : -0.1839995 
boosting mean 279 : -0.4406642 
boosting RMSE 279 : 0.1485833 

forest 279 : -0.4343242 
forest mean 279 : -0.4066429 
forest RMSE 279 : 0.057094 

nnet 279 : -0.1305693 
nnet mean 279 : -0.4089531 
nnet RMSE 279 : 0.1441715 


s: 280 
logit 280 : -0.4567948 
logit mean 280 : -0.4521372 
logit RMSE 280 : 0.07105844 

boosting 280 : -0.4410341 
boosting mean 280 : -0.4406655 
boosting RMSE 280 : 0.148338 

forest 280 : -0.3223886 
forest mean 280 : -0.406342 
forest RMSE 280 : 0.05718037 

nnet 280 : -0.4318895 
nnet mean 280 : -0.409035 
nnet RMSE 280 : 0.1439264 


s: 281 
logit 281 : -0.4078616 
logit mean 281 : -0.4519796 
logit RMSE 281 : 0.07093343 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 281 : -0.4756669 
boosting mean 281 : -0.4407901 
boosting RMSE 281 : 0.1481426 

forest 281 : -0.383214 
forest mean 281 : -0.4062597 
forest RMSE 281 : 0.05708732 

nnet 281 : -0.5247011 
nnet mean 281 : -0.4094466 
nnet RMSE 281 : 0.1438626 


s: 282 
logit 282 : -0.5196061 
logit mean 282 : -0.4522194 
logit RMSE 282 : 0.07116487 

boosting 282 : -0.2263864 
boosting mean 282 : -0.4400298 
boosting RMSE 282 : 0.1482407 

forest 282 : -0.411559 
forest mean 282 : -0.4062785 
forest RMSE 282 : 0.05699017 

nnet 282 : -0.357148 
nnet mean 282 : -0.4092612 
nnet RMSE 282 : 0.1436299 


s: 283 
logit 283 : -0.4310335 
logit mean 283 : -0.4521446 
logit RMSE 283 : 0.07106298 

boosting 283 : -0.4094338 
boosting mean 283 : -0.4399217 
boosting RMSE 283 : 0.1479796 

forest 283 : -0.4240246 
forest mean 283 : -0.4063412 
forest RMSE 283 : 0.05690731 

nnet 283 : -0.4244441 
nnet mean 283 : -0.4093148 
nnet RMSE 283 : 0.1433833 


s: 284 
logit 284 : -0.4386241 
logit mean 284 : -0.452097 
logit RMSE 284 : 0.07097477 

boosting 284 : -0.3484214 
boosting mean 284 : -0.4395995 
boosting RMSE 284 : 0.1477505 

forest 284 : -0.5370721 
forest mean 284 : -0.4068015 
forest RMSE 284 : 0.05738638 

nnet 284 : -0.4208571 
nnet mean 284 : -0.4093555 
nnet RMSE 284 : 0.143136 


s: 285 
logit 285 : -0.4591266 
logit mean 285 : -0.4521216 
logit RMSE 285 : 0.07093666 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 285 : -0.2609685 
boosting mean 285 : -0.4389727 
boosting RMSE 285 : 0.1477208 

forest 285 : -0.4682332 
forest mean 285 : -0.4070170 
forest RMSE 285 : 0.05742802 

nnet 285 : -0.6565151 
nnet mean 285 : -0.4102227 
nnet RMSE 285 : 0.1436903 


s: 286 
logit 286 : -0.4317428 
logit mean 286 : -0.4520504 
logit RMSE 286 : 0.0708374 

boosting 286 : -0.6330002 
boosting mean 286 : -0.4396511 
boosting RMSE 286 : 0.1481046 

forest 286 : -0.3748453 
forest mean 286 : -0.4069046 
forest RMSE 286 : 0.05734683 

nnet 286 : -0.3337484 
nnet mean 286 : -0.4099553 
nnet RMSE 286 : 0.1434924 


s: 287 
logit 287 : -0.4703995 
logit mean 287 : -0.4521143 
logit RMSE 287 : 0.07083588 

boosting 287 : -0.1954626 
boosting mean 287 : -0.4388003 
boosting RMSE 287 : 0.1483385 

forest 287 : -0.2933092 
forest mean 287 : -0.4065088 
forest RMSE 287 : 0.0575922 

nnet 287 : -0.2665119 
nnet mean 287 : -0.4094555 
nnet RMSE 287 : 0.1434587 


s: 288 
logit 288 : -0.4673123 
logit mean 288 : -0.4521671 
logit RMSE 288 : 0.07082395 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 288 : -0.8042311 
boosting mean 288 : -0.4400691 
boosting RMSE 288 : 0.1499843 

forest 288 : -0.4427152 
forest mean 288 : -0.4066345 
forest RMSE 288 : 0.0575472 

nnet 288 : -0.6458269 
nnet mean 288 : -0.4102762 
nnet RMSE 288 : 0.1439402 


s: 289 
logit 289 : -0.4661503 
logit mean 289 : -0.4522155 
logit RMSE 289 : 0.07080831 

boosting 289 : -0.3416493 
boosting mean 289 : -0.4397286 
boosting RMSE 289 : 0.1497639 

forest 289 : -0.4378594 
forest mean 289 : -0.4067425 
forest RMSE 289 : 0.0574907 

nnet 289 : -0.4045949 
nnet mean 289 : -0.4102566 
nnet RMSE 289 : 0.1436912 


s: 290 
logit 290 : -0.3560528 
logit mean 290 : -0.4518839 
logit RMSE 290 : 0.07073322 

boosting 290 : -0.5311366 
boosting mean 290 : -0.4400438 
boosting RMSE 290 : 0.1497036 

forest 290 : -0.3897589 
forest mean 290 : -0.4066840 
forest RMSE 290 : 0.05739465 

nnet 290 : -0.4898257 
nnet mean 290 : -0.4105309 
nnet RMSE 290 : 0.1435402 


s: 291 
logit 291 : -0.4162085 
logit mean 291 : -0.4517613 
logit RMSE 291 : 0.07061797 

boosting 291 : -0.62571 
boosting mean 291 : -0.4406818 
boosting RMSE 291 : 0.1500308 

forest 291 : -0.4025531 
forest mean 291 : -0.4066698 
forest RMSE 291 : 0.05729614 

nnet 291 : -0.5916501 
nnet mean 291 : -0.4111533 
nnet RMSE 291 : 0.1437331 


s: 292 
logit 292 : -0.4220846 
logit mean 292 : -0.4516596 
logit RMSE 292 : 0.07050879 

boosting 292 : -0.3925729 
boosting mean 292 : -0.4405171 
boosting RMSE 292 : 0.1497743 

forest 292 : -0.3033822 
forest mean 292 : -0.406316 
forest RMSE 292 : 0.05747673 

nnet 292 : -0.3896851 
nnet mean 292 : -0.4110798 
nnet RMSE 292 : 0.1434880 


s: 293 
logit 293 : -0.4194816 
logit mean 293 : -0.4515498 
logit RMSE 293 : 0.07039757 

boosting 293 : -0.5693235 
boosting mean 293 : -0.4409567 
boosting RMSE 293 : 0.1498453 

forest 293 : -0.5010705 
forest mean 293 : -0.4066394 
forest RMSE 293 : 0.05768157 

nnet 293 : -0.5427789 
nnet mean 293 : -0.4115293 
nnet RMSE 293 : 0.1434856 


s: 294 
logit 294 : -0.3613266 
logit mean 294 : -0.4512429 
logit RMSE 294 : 0.07031392 

boosting 294 : -0.5185526 
boosting mean 294 : -0.4412206 
boosting RMSE 294 : 0.1497500 

forest 294 : -0.4580123 
forest mean 294 : -0.4068142 
forest RMSE 294 : 0.0576827 

nnet 294 : -0.343842 
nnet mean 294 : -0.4112991 
nnet RMSE 294 : 0.1432788 


s: 295 
logit 295 : -0.4666705 
logit mean 295 : -0.4512952 
logit RMSE 295 : 0.07030189 

boosting 295 : -0.7022079 
boosting mean 295 : -0.4421053 
boosting RMSE 295 : 0.1505278 

forest 295 : -0.471752 
forest mean 295 : -0.4070343 
forest RMSE 295 : 0.05773618 

nnet 295 : -0.4620668 
nnet mean 295 : -0.4114712 
nnet RMSE 295 : 0.1430814 


s: 296 
logit 296 : -0.501649 
logit mean 296 : -0.4514653 
logit RMSE 296 : 0.07043129 

boosting 296 : -0.2414289 
boosting mean 296 : -0.4414273 
boosting RMSE 296 : 0.1505557 

forest 296 : -0.3689584 
forest mean 296 : -0.4069057 
forest RMSE 296 : 0.05766681 

nnet 296 : -0.1853696 
nnet mean 296 : -0.4107073 
nnet RMSE 296 : 0.1433832 


s: 297 
logit 297 : -0.4868516 
logit mean 297 : -0.4515845 
logit RMSE 297 : 0.07049299 

boosting 297 : -0.3978075 
boosting mean 297 : -0.4412805 
boosting RMSE 297 : 0.1503021 

forest 297 : -0.3863224 
forest mean 297 : -0.4068364 
forest RMSE 297 : 0.05757511 

nnet 297 : -0.3315315 
nnet mean 297 : -0.4104407 
nnet RMSE 297 : 0.1431968 


s: 298 
logit 298 : -0.5556138 
logit mean 298 : -0.4519336 
logit RMSE 298 : 0.07094961 

boosting 298 : -0.3872944 
boosting mean 298 : -0.4410993 
boosting RMSE 298 : 0.1500515 

forest 298 : -0.442192 
forest mean 298 : -0.406955 
forest RMSE 298 : 0.05753037 

nnet 298 : -0.5630502 
nnet mean 298 : -0.4109528 
nnet RMSE 298 : 0.143268 


s: 299 
logit 299 : -0.4045619 
logit mean 299 : -0.4517751 
logit RMSE 299 : 0.07083136 

boosting 299 : -0.3728852 
boosting mean 299 : -0.4408712 
boosting RMSE 299 : 0.1498086 

forest 299 : -0.3681906 
forest mean 299 : -0.4068254 
forest RMSE 299 : 0.05746354 

nnet 299 : -0.1431211 
nnet mean 299 : -0.4100571 
nnet RMSE 299 : 0.1437977 


s: 300 
logit 300 : -0.4510531 
logit mean 300 : -0.4517727 
logit RMSE 300 : 0.07077461 

boosting 300 : -0.5075342 
boosting mean 300 : -0.4410934 
boosting RMSE 300 : 0.1496875 

forest 300 : -0.434389 
forest mean 300 : -0.4069172 
forest RMSE 300 : 0.05740203 

nnet 300 : -0.5832866 
nnet mean 300 : -0.4106345 
nnet RMSE 300 : 0.1439473 


s: 301 
logit 301 : -0.483437 
logit mean 301 : -0.4518779 
logit RMSE 301 : 0.07082043 

boosting 301 : -0.5669348 
boosting mean 301 : -0.4415115 
boosting RMSE 301 : 0.1497481 

forest 301 : -0.4184079 
forest mean 301 : -0.4069554 
forest RMSE 301 : 0.05731642 

nnet 301 : -0.3583838 
nnet mean 301 : -0.4104609 
nnet RMSE 301 : 0.1437280 


s: 302 
logit 302 : -0.3570370 
logit mean 302 : -0.4515639 
logit RMSE 302 : 0.07074629 

boosting 302 : 0.01342104 
boosting mean 302 : -0.4400051 
boosting RMSE 302 : 0.1513810 

forest 302 : -0.3036106 
forest mean 302 : -0.4066132 
forest RMSE 302 : 0.05748964 

nnet 302 : -0.2315625 
nnet mean 302 : -0.4098685 
nnet RMSE 302 : 0.1438168 


s: 303 
logit 303 : -0.5546283 
logit mean 303 : -0.451904 
logit RMSE 303 : 0.07118588 

boosting 303 : -0.2658969 
boosting mean 303 : -0.4394305 
boosting RMSE 303 : 0.1513272 

forest 303 : -0.3596681 
forest mean 303 : -0.4064583 
forest RMSE 303 : 0.05744144 

nnet 303 : -0.4514373 
nnet mean 303 : -0.4100057 
nnet RMSE 303 : 0.1436097 


s: 304 
logit 304 : -0.458631 
logit mean 304 : -0.4519262 
logit RMSE 304 : 0.07114821 

boosting 304 : -0.6520493 
boosting mean 304 : -0.4401299 
boosting RMSE 304 : 0.1517681 

forest 304 : -0.3525391 
forest mean 304 : -0.4062809 
forest RMSE 304 : 0.05741146 

nnet 304 : -0.2550201 
nnet mean 304 : -0.4094959 
nnet RMSE 304 : 0.1436142 


s: 305 
logit 305 : -0.4290505 
logit mean 305 : -0.4518512 
logit RMSE 305 : 0.07105095 

boosting 305 : -0.4196754 
boosting mean 305 : -0.4400628 
boosting RMSE 305 : 0.1515233 

forest 305 : -0.4451522 
forest mean 305 : -0.4064083 
forest RMSE 305 : 0.05737554 

nnet 305 : -0.4481528 
nnet mean 305 : -0.4096227 
nnet RMSE 305 : 0.1434051 


s: 306 
logit 306 : -0.4559190 
logit mean 306 : -0.4518645 
logit RMSE 306 : 0.07100676 

boosting 306 : -0.493777 
boosting mean 306 : -0.4402383 
boosting RMSE 306 : 0.1513705 

forest 306 : -0.3407893 
forest mean 306 : -0.4061939 
forest RMSE 306 : 0.05738164 

nnet 306 : -0.3989463 
nnet mean 306 : -0.4095878 
nnet RMSE 306 : 0.1431706 


s: 307 
logit 307 : -0.4313045 
logit mean 307 : -0.4517975 
logit RMSE 307 : 0.07091353 

boosting 307 : -0.4014296 
boosting mean 307 : -0.4401119 
boosting RMSE 307 : 0.1511238 

forest 307 : -0.4135933 
forest mean 307 : -0.406218 
forest RMSE 307 : 0.05729336 

nnet 307 : -0.3401439 
nnet mean 307 : -0.4093616 
nnet RMSE 307 : 0.1429781 


s: 308 
logit 308 : -0.4895959 
logit mean 308 : -0.4519202 
logit RMSE 308 : 0.07098214 

boosting 308 : -0.3973074 
boosting mean 308 : -0.4399729 
boosting RMSE 308 : 0.1508783 

forest 308 : -0.3947886 
forest mean 308 : -0.4061809 
forest RMSE 308 : 0.05720104 

nnet 308 : -0.3010581 
nnet mean 308 : -0.4090099 
nnet RMSE 308 : 0.1428570 


s: 309 
logit 309 : -0.4302878 
logit mean 309 : -0.4518502 
logit RMSE 309 : 0.07088813 

boosting 309 : -0.9790293 
boosting mean 309 : -0.4417175 
boosting RMSE 309 : 0.1541935 

forest 309 : -0.4281582 
forest mean 309 : -0.406252 
forest RMSE 309 : 0.05713087 

nnet 309 : -0.1867055 
nnet mean 309 : -0.4082905 
nnet RMSE 309 : 0.1431409 


s: 310 
logit 310 : -0.4479067 
logit mean 310 : -0.4518375 
logit RMSE 310 : 0.07082599 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 310 : -0.6011254 
boosting mean 310 : -0.4422317 
boosting RMSE 310 : 0.1543678 

forest 310 : -0.5418518 
forest mean 310 : -0.4066894 
forest RMSE 310 : 0.05760484 

nnet 310 : -0.414212 
nnet mean 310 : -0.4083096 
nnet RMSE 310 : 0.1429121 


s: 311 
logit 311 : -0.4146918 
logit mean 311 : -0.4517180 
logit RMSE 311 : 0.07071694 

boosting 311 : -0.5493431 
boosting mean 311 : -0.4425761 
boosting RMSE 311 : 0.1543519 

forest 311 : -0.4122378 
forest mean 311 : -0.4067073 
forest RMSE 311 : 0.05751634 

nnet 311 : -0.5661205 
nnet mean 311 : -0.408817 
nnet RMSE 311 : 0.1429928 


s: 312 
logit 312 : -0.4680866 
logit mean 312 : -0.4517705 
logit RMSE 312 : 0.07070866 

boosting 312 : -0.4261998 
boosting mean 312 : -0.4425236 
boosting RMSE 312 : 0.1541115 

forest 312 : -0.4808824 
forest mean 312 : -0.406945 
forest RMSE 312 : 0.05760637 

nnet 312 : -0.2815614 
nnet mean 312 : -0.4084092 
nnet RMSE 312 : 0.1429208 


s: 313 
logit 313 : -0.4522368 
logit mean 313 : -0.451772 
logit RMSE 313 : 0.07065734 

boosting 313 : -0.7052061 
boosting mean 313 : -0.4433628 
boosting RMSE 313 : 0.1548292 

forest 313 : -0.4695422 
forest mean 313 : -0.407145 
forest RMSE 313 : 0.05764844 

nnet 313 : -0.649284 
nnet mean 313 : -0.4091787 
nnet RMSE 313 : 0.1433863 


s: 314 
logit 314 : -0.474855 
logit mean 314 : -0.4518455 
logit RMSE 314 : 0.0706711 

boosting 314 : -0.4498647 
boosting mean 314 : -0.4433835 
boosting RMSE 314 : 0.1546081 

forest 314 : -0.4721009 
forest mean 314 : -0.4073519 
forest RMSE 314 : 0.05770021 

nnet 314 : -0.4732652 
nnet mean 314 : -0.4093828 
nnet RMSE 314 : 0.1432175 


s: 315 
logit 315 : -0.50196 
logit mean 315 : -0.4520046 
logit RMSE 315 : 0.07079231 

boosting 315 : -0.6641697 
boosting mean 315 : -0.4440845 
boosting RMSE 315 : 0.1550784 

forest 315 : -0.494226 
forest mean 315 : -0.4076277 
forest RMSE 315 : 0.05785267 

nnet 315 : -0.444176 
nnet mean 315 : -0.4094933 
nnet RMSE 315 : 0.1430117 


s: 316 
logit 316 : -0.4489622 
logit mean 316 : -0.451995 
logit RMSE 316 : 0.07073386 

boosting 316 : -0.4154777 
boosting mean 316 : -0.4439939 
boosting RMSE 316 : 0.1548353 

forest 316 : -0.3924817 
forest mean 316 : -0.4075797 
forest RMSE 316 : 0.0577626 

nnet 316 : -0.487897 
nnet mean 316 : -0.4097414 
nnet RMSE 316 : 0.1428708 


s: 317 
logit 317 : -0.4454616 
logit mean 317 : -0.4519744 
logit RMSE 317 : 0.07066835 

boosting 317 : -0.4714138 
boosting mean 317 : -0.4440804 
boosting RMSE 317 : 0.1546429 

forest 317 : -0.3582910 
forest mean 317 : -0.4074243 
forest RMSE 317 : 0.05771898 

nnet 317 : -0.2730087 
nnet mean 317 : -0.4093101 
nnet RMSE 317 : 0.1428235 


s: 318 
logit 318 : -0.3821589 
logit mean 318 : -0.4517548 
logit RMSE 318 : 0.07056424 

boosting 318 : -0.2176926 
boosting mean 318 : -0.4433685 
boosting RMSE 318 : 0.1547376 

forest 318 : -0.399618 
forest mean 318 : -0.4073997 
forest RMSE 318 : 0.05762816 

nnet 318 : -0.4466729 
nnet mean 318 : -0.4094276 
nnet RMSE 318 : 0.1426228 


s: 319 
logit 319 : -0.5084018 
logit mean 319 : -0.4519324 
logit RMSE 319 : 0.0707145 

boosting 319 : -0.3500501 
boosting mean 319 : -0.443076 
boosting RMSE 319 : 0.1545202 

forest 319 : -0.3735612 
forest mean 319 : -0.4072936 
forest RMSE 319 : 0.0575568 

nnet 319 : -0.3949458 
nnet mean 319 : -0.4093822 
nnet RMSE 319 : 0.1423993 


s: 320 
logit 320 : -0.4111361 
logit mean 320 : -0.4518049 
logit RMSE 320 : 0.07060666 

boosting 320 : -0.6158167 
boosting mean 320 : -0.4436158 
boosting RMSE 320 : 0.1547496 

forest 320 : -0.3527689 
forest mean 320 : -0.4071232 
forest RMSE 320 : 0.05752742 

nnet 320 : -0.3357416 
nnet mean 320 : -0.409152 
nnet RMSE 320 : 0.1422220 


s: 321 
logit 321 : -0.4570711 
logit mean 321 : -0.4518213 
logit RMSE 321 : 0.07056852 

boosting 321 : -0.430474 
boosting mean 321 : -0.4435749 
boosting RMSE 321 : 0.1545177 

forest 321 : -0.4234768 
forest mean 321 : -0.4071742 
forest RMSE 321 : 0.05745269 

nnet 321 : -0.4873693 
nnet mean 321 : -0.4093957 
nnet RMSE 321 : 0.1420840 


s: 322 
logit 322 : -0.3926637 
logit mean 322 : -0.4516376 
logit RMSE 322 : 0.07046005 

boosting 322 : -0.6042433 
boosting mean 322 : -0.4440738 
boosting RMSE 322 : 0.1546969 

forest 322 : -0.3866527 
forest mean 322 : -0.4071105 
forest RMSE 322 : 0.05736823 

nnet 322 : -0.1931248 
nnet mean 322 : -0.4087240 
nnet RMSE 322 : 0.1423309 


s: 323 
logit 323 : -0.458964 
logit mean 323 : -0.4516603 
logit RMSE 323 : 0.07042735 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 323 : -0.4906196 
boosting mean 323 : -0.4442179 
boosting RMSE 323 : 0.1545395 

forest 323 : -0.4478943 
forest mean 323 : -0.4072367 
forest RMSE 323 : 0.05734131 

nnet 323 : -0.3950485 
nnet mean 323 : -0.4086817 
nnet RMSE 323 : 0.1421107 


s: 324 
logit 324 : -0.4572971 
logit mean 324 : -0.4516777 
logit RMSE 324 : 0.0703906 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 324 : -0.2304477 
boosting mean 324 : -0.4435581 
boosting RMSE 324 : 0.1545881 

forest 324 : -0.5262212 
forest mean 324 : -0.4076040 
forest RMSE 324 : 0.05768059 

nnet 324 : -0.4287028 
nnet mean 324 : -0.4087435 
nnet RMSE 324 : 0.1419002 


s: 325 
logit 325 : -0.4589596 
logit mean 325 : -0.4517001 
logit RMSE 325 : 0.07035827 

boosting 325 : -0.3798236 
boosting mean 325 : -0.443362 
boosting RMSE 325 : 0.1543541 

forest 325 : -0.3724359 
forest mean 325 : -0.4074957 
forest RMSE 325 : 0.05761207 

nnet 325 : -0.3515624 
nnet mean 325 : -0.4085676 
nnet RMSE 325 : 0.1417072 


s: 326 
logit 326 : -0.3786256 
logit mean 326 : -0.4514759 
logit RMSE 326 : 0.07026025 

boosting 326 : -0.5060229 
boosting mean 326 : -0.4435543 
boosting RMSE 326 : 0.1542291 

forest 326 : -0.4373718 
forest mean 326 : -0.4075874 
forest RMSE 326 : 0.05756087 

nnet 326 : -0.3950377 
nnet mean 326 : -0.4085261 
nnet RMSE 326 : 0.1414899 


s: 327 
logit 327 : -0.3940306 
logit mean 327 : -0.4513003 
logit RMSE 327 : 0.07015351 

boosting 327 : -0.3742529 
boosting mean 327 : -0.4433423 
boosting RMSE 327 : 0.1539996 

forest 327 : -0.3554683 
forest mean 327 : -0.407428 
forest RMSE 327 : 0.05752553 

nnet 327 : -0.5025166 
nnet mean 327 : -0.4088135 
nnet RMSE 327 : 0.1413871 


s: 328 
logit 328 : -0.4426920 
logit mean 328 : -0.451274 
logit RMSE 328 : 0.07008614 

boosting 328 : -0.5169169 
boosting mean 328 : -0.4435666 
boosting RMSE 328 : 0.1539002 

forest 328 : -0.454851 
forest mean 328 : -0.4075726 
forest RMSE 328 : 0.05751756 

nnet 328 : -0.5000338 
nnet mean 328 : -0.4090916 
nnet RMSE 328 : 0.1412794 


s: 329 
logit 329 : -0.3762964 
logit mean 329 : -0.4510461 
logit RMSE 329 : 0.06999175 

boosting 329 : -0.3420583 
boosting mean 329 : -0.4432581 
boosting RMSE 329 : 0.1536993 

forest 329 : -0.4196218 
forest mean 329 : -0.4076092 
forest RMSE 329 : 0.05744027 

nnet 329 : -0.4045292 
nnet mean 329 : -0.4090777 
nnet RMSE 329 : 0.1410648 


s: 330 
logit 330 : -0.5106266 
logit mean 330 : -0.4512267 
logit RMSE 330 : 0.07015045 

boosting 330 : -0.1436487 
boosting mean 330 : -0.4423502 
boosting RMSE 330 : 0.1541137 

forest 330 : -0.3635943 
forest mean 330 : -0.4074758 
forest RMSE 330 : 0.05738817 

nnet 330 : -0.3307830 
nnet mean 330 : -0.4088405 
nnet RMSE 330 : 0.1409024 


s: 331 
logit 331 : -0.4127789 
logit mean 331 : -0.4511105 
logit RMSE 331 : 0.07004792 

boosting 331 : -0.3889187 
boosting mean 331 : -0.4421888 
boosting RMSE 331 : 0.1538819 

forest 331 : -0.4763398 
forest mean 331 : -0.4076839 
forest RMSE 331 : 0.05745485 

nnet 331 : -0.4715965 
nnet mean 331 : -0.4090301 
nnet RMSE 331 : 0.1407444 


s: 332 
logit 332 : -0.4739504 
logit mean 332 : -0.4511793 
logit RMSE 332 : 0.07006 

boosting 332 : -0.3656771 
boosting mean 332 : -0.4419583 
boosting RMSE 332 : 0.1536615 

forest 332 : -0.4023907 
forest mean 332 : -0.4076679 
forest RMSE 332 : 0.0573684 

nnet 332 : -0.6942879 
nnet mean 332 : -0.4098893 
nnet RMSE 332 : 0.1414574 


s: 333 
logit 333 : -0.4738092 
logit mean 333 : -0.4512473 
logit RMSE 333 : 0.07007156 

boosting 333 : -0.4952874 
boosting mean 333 : -0.4421185 
boosting RMSE 333 : 0.1535195 

forest 333 : -0.4083711 
forest mean 333 : -0.4076701 
forest RMSE 333 : 0.05728404 

nnet 333 : -0.5269081 
nnet mean 333 : -0.4102407 
nnet RMSE 333 : 0.1414159 


s: 334 
logit 334 : -0.4738091 
logit mean 334 : -0.4513148 
logit RMSE 334 : 0.07008305 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 334 : -0.3344363 
boosting mean 334 : -0.4417961 
boosting RMSE 334 : 0.1533314 

forest 334 : -0.3485504 
forest mean 334 : -0.4074930 
forest RMSE 334 : 0.05726745 

nnet 334 : -0.03568069 
nnet mean 334 : -0.4091193 
nnet RMSE 334 : 0.1426043 


s: 335 
logit 335 : -0.4304534 
logit mean 335 : -0.4512525 
logit RMSE 335 : 0.06999815 

boosting 335 : -0.3173798 
boosting mean 335 : -0.4414247 
boosting RMSE 335 : 0.1531689 

forest 335 : -0.5159932 
forest mean 335 : -0.4078169 
forest RMSE 335 : 0.05753203 

nnet 335 : -0.5044773 
nnet mean 335 : -0.4094039 
nnet RMSE 335 : 0.1425056 


s: 336 
logit 336 : -0.4342179 
logit mean 336 : -0.4512018 
logit RMSE 336 : 0.06991883 

boosting 336 : -0.497595 
boosting mean 336 : -0.4415918 
boosting RMSE 336 : 0.1530335 

forest 336 : -0.3510335 
forest mean 336 : -0.4076479 
forest RMSE 336 : 0.05750843 

nnet 336 : 0.01127770 
nnet mean 336 : -0.4081519 
nnet RMSE 336 : 0.1440515 


s: 337 
logit 337 : -0.4562653 
logit mean 337 : -0.4512169 
logit RMSE 337 : 0.06988226 

boosting 337 : -0.426714 
boosting mean 337 : -0.4415477 
boosting RMSE 337 : 0.1528132 

forest 337 : -0.3551207 
forest mean 337 : -0.4074921 
forest RMSE 337 : 0.05747506 

nnet 337 : -0.3599957 
nnet mean 337 : -0.408009 
nnet RMSE 337 : 0.1438541 


s: 338 
logit 338 : -0.3487034 
logit mean 338 : -0.4509136 
logit RMSE 338 : 0.06983457 

boosting 338 : -0.5538368 
boosting mean 338 : -0.4418799 
boosting RMSE 338 : 0.1528162 

forest 338 : -0.3525667 
forest mean 338 : -0.4073296 
forest RMSE 338 : 0.05744794 

nnet 338 : -0.3248663 
nnet mean 338 : -0.407763 
nnet RMSE 338 : 0.1436993 


s: 339 
logit 339 : -0.5066718 
logit mean 339 : -0.4510780 
logit RMSE 339 : 0.06997176 

boosting 339 : -0.1518029 
boosting mean 339 : -0.4410242 
boosting RMSE 339 : 0.1531850 

forest 339 : -0.4410535 
forest mean 339 : -0.4074290 
forest RMSE 339 : 0.05740646 

nnet 339 : -0.5077991 
nnet mean 339 : -0.4080581 
nnet RMSE 339 : 0.1436066 


s: 340 
logit 340 : -0.5000512 
logit mean 340 : -0.4512221 
logit RMSE 340 : 0.07007916 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 340 : -0.3635293 
boosting mean 340 : -0.4407963 
boosting RMSE 340 : 0.1529723 

forest 340 : -0.3986069 
forest mean 340 : -0.4074031 
forest RMSE 340 : 0.05732203 

nnet 340 : -0.4031408 
nnet mean 340 : -0.4080436 
nnet RMSE 340 : 0.1433954 


s: 341 
logit 341 : -0.4662151 
logit mean 341 : -0.4512661 
logit RMSE 341 : 0.07006814 

boosting 341 : -0.3740958 
boosting mean 341 : -0.4406007 
boosting RMSE 341 : 0.1527543 

forest 341 : -0.3928061 
forest mean 341 : -0.4073603 
forest RMSE 341 : 0.05723924 

nnet 341 : -0.504398 
nnet mean 341 : -0.4083262 
nnet RMSE 341 : 0.1432965 


s: 342 
logit 342 : -0.4514262 
logit mean 342 : -0.4512665 
logit RMSE 342 : 0.07002087 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 342 : -0.527801 
boosting mean 342 : -0.4408557 
boosting RMSE 342 : 0.1526873 

forest 342 : -0.4215966 
forest mean 342 : -0.4074019 
forest RMSE 342 : 0.05716743 

nnet 342 : -0.3454263 
nnet mean 342 : -0.4081423 
nnet RMSE 342 : 0.1431173 


s: 343 
logit 343 : -0.4785989 
logit mean 343 : -0.4513462 
logit RMSE 343 : 0.0700474 

boosting 343 : -0.7013886 
boosting mean 343 : -0.4416152 
boosting RMSE 343 : 0.1533305 

forest 343 : -0.4219391 
forest mean 343 : -0.4074443 
forest RMSE 343 : 0.05709632 

nnet 343 : -0.625729 
nnet mean 343 : -0.4087766 
nnet RMSE 343 : 0.1434273 


s: 344 
logit 344 : -0.5203894 
logit mean 344 : -0.4515469 
logit RMSE 344 : 0.07024605 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 344 : -0.5457898 
boosting mean 344 : -0.4419181 
boosting RMSE 344 : 0.1533092 

forest 344 : -0.4383418 
forest mean 344 : -0.4075341 
forest RMSE 344 : 0.05705074 

nnet 344 : -0.2749689 
nnet mean 344 : -0.4083877 
nnet RMSE 344 : 0.1433773 


s: 345 
logit 345 : -0.4257307 
logit mean 345 : -0.4514721 
logit RMSE 345 : 0.07015785 

boosting 345 : -0.5412705 
boosting mean 345 : -0.4422060 
boosting RMSE 345 : 0.1532756 

forest 345 : -0.402852 
forest mean 345 : -0.4075205 
forest RMSE 345 : 0.0569682 

nnet 345 : -0.5545737 
nnet mean 345 : -0.4088114 
nnet RMSE 345 : 0.1434110 


s: 346 
logit 346 : -0.4784218 
logit mean 346 : -0.45155 
logit RMSE 346 : 0.07018314 

boosting 346 : -0.3294443 
boosting mean 346 : -0.4418801 
boosting RMSE 346 : 0.1531010 

forest 346 : -0.3781937 
forest mean 346 : -0.4074358 
forest RMSE 346 : 0.0568979 

nnet 346 : -0.3513001 
nnet mean 346 : -0.4086452 
nnet RMSE 346 : 0.1432275 


s: 347 
logit 347 : -0.5195931 
logit mean 347 : -0.4517461 
logit RMSE 347 : 0.07037539 

boosting 347 : -0.5265049 
boosting mean 347 : -0.442124 
boosting RMSE 347 : 0.1530310 

forest 347 : -0.4399257 
forest mean 347 : -0.4075294 
forest RMSE 347 : 0.05685627 

nnet 347 : -0.5220033 
nnet mean 347 : -0.4089719 
nnet RMSE 347 : 0.1431709 


s: 348 
logit 348 : -0.4353411 
logit mean 348 : -0.4516989 
logit RMSE 348 : 0.07029973 

boosting 348 : -0.4894733 
boosting mean 348 : -0.4422601 
boosting RMSE 348 : 0.1528862 

forest 348 : -0.442424 
forest mean 348 : -0.4076297 
forest RMSE 348 : 0.05682005 

nnet 348 : -0.3874704 
nnet mean 348 : -0.4089101 
nnet RMSE 348 : 0.1429666 


s: 349 
logit 349 : -0.4099059 
logit mean 349 : -0.4515792 
logit RMSE 349 : 0.07020095 

boosting 349 : -0.460535 
boosting mean 349 : -0.4423124 
boosting RMSE 349 : 0.1527014 

forest 349 : -0.3221016 
forest mean 349 : -0.4073846 
forest RMSE 349 : 0.0568916 

nnet 349 : -0.42592 
nnet mean 349 : -0.4089588 
nnet RMSE 349 : 0.1427684 


s: 350 
logit 350 : -0.5145573 
logit mean 350 : -0.4517591 
logit RMSE 350 : 0.07036752 

boosting 350 : -0.4576637 
boosting mean 350 : -0.4423563 
boosting RMSE 350 : 0.1525142 

forest 350 : -0.4805985 
forest mean 350 : -0.4075938 
forest RMSE 350 : 0.05697339 

nnet 350 : -0.5729507 
nnet mean 350 : -0.4094274 
nnet RMSE 350 : 0.1428637 


s: 351 
logit 351 : -0.4833938 
logit mean 351 : -0.4518492 
logit RMSE 351 : 0.07040806 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 351 : -0.5660781 
boosting mean 351 : -0.4427088 
boosting RMSE 351 : 0.1525546 

forest 351 : -0.3438371 
forest mean 351 : -0.4074122 
forest RMSE 351 : 0.05697109 

nnet 351 : -0.4878666 
nnet mean 351 : -0.4096508 
nnet RMSE 351 : 0.1427371 


s: 352 
logit 352 : -0.408258 
logit mean 352 : -0.4517254 
logit RMSE 352 : 0.07030935 

boosting 352 : -0.3810146 
boosting mean 352 : -0.4425335 
boosting RMSE 352 : 0.1523411 

forest 352 : -0.3714256 
forest mean 352 : -0.4073099 
forest RMSE 352 : 0.0569105 

nnet 352 : -0.3304717 
nnet mean 352 : -0.4094259 
nnet RMSE 352 : 0.1425824 


s: 353 
logit 353 : -0.4243253 
logit mean 353 : -0.4516478 
logit RMSE 353 : 0.07022163 

boosting 353 : -0.3429357 
boosting mean 353 : -0.4422514 
boosting RMSE 353 : 0.1521555 

forest 353 : -0.2673592 
forest mean 353 : -0.4069135 
forest RMSE 353 : 0.05726665 

nnet 353 : -0.3210263 
nnet mean 353 : -0.4091755 
nnet RMSE 353 : 0.1424423 


s: 354 
logit 354 : -0.5055281 
logit mean 354 : -0.4518 
logit RMSE 354 : 0.07034633 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 354 : -0.6066053 
boosting mean 354 : -0.4427157 
boosting RMSE 354 : 0.1523367 

forest 354 : -0.4401512 
forest mean 354 : -0.4070074 
forest RMSE 354 : 0.05722551 

nnet 354 : -0.5906597 
nnet mean 354 : -0.4096881 
nnet RMSE 354 : 0.1426015 


s: 355 
logit 355 : -0.4860123 
logit mean 355 : -0.4518964 
logit RMSE 355 : 0.07039535 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 355 : -0.4194637 
boosting mean 355 : -0.4426502 
boosting RMSE 355 : 0.1521255 

forest 355 : -0.3615393 
forest mean 355 : -0.4068793 
forest RMSE 355 : 0.0571813 

nnet 355 : -0.5582096 
nnet mean 355 : -0.4101065 
nnet RMSE 355 : 0.1426478 


s: 356 
logit 356 : -0.5767653 
logit mean 356 : -0.4522471 
logit RMSE 356 : 0.07091795 

boosting 356 : -0.2395859 
boosting mean 356 : -0.4420797 
boosting RMSE 356 : 0.1521494 

forest 356 : -0.4229012 
forest mean 356 : -0.4069243 
forest RMSE 356 : 0.05711384 

nnet 356 : -0.6450668 
nnet mean 356 : -0.4107665 
nnet RMSE 356 : 0.1430383 


s: 357 
logit 357 : -0.481498 
logit mean 357 : -0.452329 
logit RMSE 357 : 0.07094979 

boosting 357 : -0.541003 
boosting mean 357 : -0.4423568 
boosting RMSE 357 : 0.1521193 

forest 357 : -0.4024192 
forest mean 357 : -0.4069117 
forest RMSE 357 : 0.05703393 

nnet 357 : -0.5672876 
nnet mean 357 : -0.4112049 
nnet RMSE 357 : 0.1431119 


s: 358 
logit 358 : -0.4025974 
logit mean 358 : -0.4521901 
logit RMSE 358 : 0.07085076 

boosting 358 : -0.7098673 
boosting mean 358 : -0.4431041 
boosting RMSE 358 : 0.1527870 

forest 358 : -0.4289551 
forest mean 358 : -0.4069732 
forest RMSE 358 : 0.05697478 

nnet 358 : -0.4215572 
nnet mean 358 : -0.4112339 
nnet RMSE 358 : 0.1429165 


s: 359 
logit 359 : -0.5596134 
logit mean 359 : -0.4524894 
logit RMSE 359 : 0.07125175 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 359 : -0.581327 
boosting mean 359 : -0.4434891 
boosting RMSE 359 : 0.1528739 

forest 359 : -0.4273359 
forest mean 359 : -0.4070300 
forest RMSE 359 : 0.05691366 

nnet 359 : -0.3018057 
nnet mean 359 : -0.410929 
nnet RMSE 359 : 0.1428114 


s: 360 
logit 360 : -0.4515670 
logit mean 360 : -0.4524868 
logit RMSE 360 : 0.07120461 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 360 : -0.3751115 
boosting mean 360 : -0.4432992 
boosting RMSE 360 : 0.1526670 

forest 360 : -0.3090643 
forest mean 360 : -0.4067578 
forest RMSE 360 : 0.05703628 

nnet 360 : -0.5059652 
nnet mean 360 : -0.411193 
nnet RMSE 360 : 0.1427222 


s: 361 
logit 361 : -0.4669232 
logit mean 361 : -0.4525268 
logit RMSE 361 : 0.0711931 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 361 : -0.3428699 
boosting mean 361 : -0.443021 
boosting RMSE 361 : 0.1524851 

forest 361 : -0.3589293 
forest mean 361 : -0.4066253 
forest RMSE 361 : 0.05699823 

nnet 361 : -0.1233529 
nnet mean 361 : -0.4103957 
nnet RMSE 361 : 0.1432662 


s: 362 
logit 362 : -0.4206841 
logit mean 362 : -0.4524388 
logit RMSE 362 : 0.07110302 

boosting 362 : -0.7151994 
boosting mean 362 : -0.4437728 
boosting RMSE 362 : 0.1531728 

forest 362 : -0.439048 
forest mean 362 : -0.4067149 
forest RMSE 362 : 0.05695644 

nnet 362 : -0.7077478 
nnet mean 362 : -0.4112171 
nnet RMSE 362 : 0.1439796 


s: 363 
logit 363 : -0.4184612 
logit mean 363 : -0.4523452 
logit RMSE 363 : 0.07101162 

boosting 363 : -0.3369266 
boosting mean 363 : -0.4434785 
boosting RMSE 363 : 0.1529975 

forest 363 : -0.3997604 
forest mean 363 : -0.4066957 
forest RMSE 363 : 0.05687793 

nnet 363 : -0.3037081 
nnet mean 363 : -0.4109209 
nnet RMSE 363 : 0.1438699 


s: 364 
logit 364 : -0.4472338 
logit mean 364 : -0.4523312 
logit RMSE 364 : 0.07095721 

boosting 364 : -0.5151246 
boosting mean 364 : -0.4436753 
boosting RMSE 364 : 0.1529063 

forest 364 : -0.4056398 
forest mean 364 : -0.4066928 
forest RMSE 364 : 0.05680052 

nnet 364 : -0.4907444 
nnet mean 364 : -0.4111402 
nnet RMSE 364 : 0.1437509 


s: 365 
logit 365 : -0.4562242 
logit mean 365 : -0.4523418 
logit RMSE 365 : 0.07092103 

boosting 365 : -0.3587063 
boosting mean 365 : -0.4434425 
boosting RMSE 365 : 0.1527120 

forest 365 : -0.4442593 
forest mean 365 : -0.4067958 
forest RMSE 365 : 0.05676994 

nnet 365 : -0.4867841 
nnet mean 365 : -0.4113475 
nnet RMSE 365 : 0.1436257 


s: 366 
logit 366 : -0.3511052 
logit mean 366 : -0.4520652 
logit RMSE 366 : 0.07087018 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 366 : -0.4537001 
boosting mean 366 : -0.4434706 
boosting RMSE 366 : 0.1525291 

forest 366 : -0.4631552 
forest mean 366 : -0.4069498 
forest RMSE 366 : 0.05678837 

nnet 366 : -0.3354519 
nnet mean 366 : -0.4111401 
nnet RMSE 366 : 0.1434690 


s: 367 
logit 367 : -0.4730572 
logit mean 367 : -0.4521224 
logit RMSE 367 : 0.07087623 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 367 : -0.6674352 
boosting mean 367 : -0.4440808 
boosting RMSE 367 : 0.1529595 

forest 367 : -0.4109953 
forest mean 367 : -0.4069608 
forest RMSE 367 : 0.05671385 

nnet 367 : -0.4643833 
nnet mean 367 : -0.4112852 
nnet RMSE 367 : 0.1433128 


s: 368 
logit 368 : -0.522485 
logit mean 368 : -0.4523136 
logit RMSE 368 : 0.07106727 

boosting 368 : -0.5644527 
boosting mean 368 : -0.4444079 
boosting RMSE 368 : 0.1529919 

forest 368 : -0.3830217 
forest mean 368 : -0.4068957 
forest RMSE 368 : 0.05664366 

nnet 368 : -0.4585749 
nnet mean 368 : -0.4114137 
nnet RMSE 368 : 0.1431506 


s: 369 
logit 369 : -0.4657007 
logit mean 369 : -0.4523499 
logit RMSE 369 : 0.07105327 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 369 : -0.6650887 
boosting mean 369 : -0.445006 
boosting RMSE 369 : 0.1534064 

forest 369 : -0.4214495 
forest mean 369 : -0.4069352 
forest RMSE 369 : 0.05657787 

nnet 369 : -0.2209215 
nnet mean 369 : -0.4108974 
nnet RMSE 369 : 0.1432601 


s: 370 
logit 370 : -0.4179464 
logit mean 370 : -0.4522569 
logit RMSE 370 : 0.07096333 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 370 : -0.6067589 
boosting mean 370 : -0.4454431 
boosting RMSE 370 : 0.1535756 

forest 370 : -0.3998732 
forest mean 370 : -0.4069161 
forest RMSE 370 : 0.05650136 

nnet 370 : -0.3360397 
nnet mean 370 : -0.4106951 
nnet RMSE 370 : 0.143105 


s: 371 
logit 371 : -0.461225 
logit mean 371 : -0.4522811 
logit RMSE 371 : 0.07093887 

boosting 371 : -0.5082666 
boosting mean 371 : -0.4456125 
boosting RMSE 371 : 0.1534715 

forest 371 : -0.481274 
forest mean 371 : -0.4071165 
forest RMSE 371 : 0.05658272 

nnet 371 : -0.5576598 
nnet mean 371 : -0.4110913 
nnet RMSE 371 : 0.1431462 


s: 372 
logit 372 : -0.5274213 
logit mean 372 : -0.4524831 
logit RMSE 372 : 0.07115084 

boosting 372 : -0.2448518 
boosting mean 372 : -0.4450728 
boosting RMSE 372 : 0.153476 

forest 372 : -0.3924532 
forest mean 372 : -0.4070771 
forest RMSE 372 : 0.05650797 

nnet 372 : -0.2696887 
nnet mean 372 : -0.4107111 
nnet RMSE 372 : 0.1431133 


s: 373 
logit 373 : -0.4798270 
logit mean 373 : -0.4525564 
logit RMSE 373 : 0.07117551 

boosting 373 : -0.5526068 
boosting mean 373 : -0.4453611 
boosting RMSE 373 : 0.1534737 

forest 373 : -0.4425668 
forest mean 373 : -0.4071722 
forest RMSE 373 : 0.05647519 

nnet 373 : -0.4138023 
nnet mean 373 : -0.4107194 
nnet RMSE 373 : 0.1429231 


s: 374 
logit 374 : -0.4598885 
logit mean 374 : -0.452576 
logit RMSE 374 : 0.07114772 

boosting 374 : -0.3293926 
boosting mean 374 : -0.445051 
boosting RMSE 374 : 0.1533118 

forest 374 : -0.361752 
forest mean 374 : -0.4070508 
forest RMSE 374 : 0.05643431 

nnet 374 : -0.6175613 
nnet mean 374 : -0.4112725 
nnet RMSE 374 : 0.1431745 


s: 375 
logit 375 : -0.4303238 
logit mean 375 : -0.4525167 
logit RMSE 375 : 0.07107005 

boosting 375 : -0.3065097 
boosting mean 375 : -0.4446816 
boosting RMSE 375 : 0.1531834 

forest 375 : -0.4073057 
forest mean 375 : -0.4070515 
forest RMSE 375 : 0.05636027 

nnet 375 : -0.6511729 
nnet mean 375 : -0.4119122 
nnet RMSE 375 : 0.1435706 


s: 376 
logit 376 : -0.3669869 
logit mean 376 : -0.4522892 
logit RMSE 376 : 0.07099589 

boosting 376 : -0.1422964 
boosting mean 376 : -0.4438774 
boosting RMSE 376 : 0.1535557 

forest 376 : -0.3499161 
forest mean 376 : -0.4068995 
forest RMSE 376 : 0.05634451 

nnet 376 : -0.5351969 
nnet mean 376 : -0.4122401 
nnet RMSE 376 : 0.143549 


s: 377 
logit 377 : -0.4909975 
logit mean 377 : -0.4523919 
logit RMSE 377 : 0.0710564 

boosting 377 : -0.05199067 
boosting mean 377 : -0.4428379 
boosting RMSE 377 : 0.1543958 

forest 377 : -0.4342537 
forest mean 377 : -0.4069721 
forest RMSE 377 : 0.05629738 

nnet 377 : -0.2938599 
nnet mean 377 : -0.4119261 
nnet RMSE 377 : 0.1434627 


s: 378 
logit 378 : -0.4167377 
logit mean 378 : -0.4522976 
logit RMSE 378 : 0.07096756 

boosting 378 : -0.4372131 
boosting mean 378 : -0.442823 
boosting RMSE 378 : 0.1542033 

forest 378 : -0.4129301 
forest mean 378 : -0.4069878 
forest RMSE 378 : 0.0562268 

nnet 378 : -0.2967017 
nnet mean 378 : -0.4116213 
nnet RMSE 378 : 0.1433713 


s: 379 
logit 379 : -0.5605035 
logit mean 379 : -0.4525831 
logit RMSE 379 : 0.0713518 

boosting 379 : -0.3708556 
boosting mean 379 : -0.4426331 
boosting RMSE 379 : 0.1540071 

forest 379 : -0.4148913 
forest mean 379 : -0.4070087 
forest RMSE 379 : 0.05615778 

nnet 379 : -0.6403515 
nnet mean 379 : -0.4122248 
nnet RMSE 379 : 0.1437133 


s: 380 
logit 380 : -0.4417151 
logit mean 380 : -0.4525545 
logit RMSE 380 : 0.07128997 

boosting 380 : -0.2826227 
boosting mean 380 : -0.442212 
boosting RMSE 380 : 0.1539221 

forest 380 : -0.5132226 
forest mean 380 : -0.4072882 
forest RMSE 380 : 0.05638379 

nnet 380 : -0.4163932 
nnet mean 380 : -0.4122358 
nnet RMSE 380 : 0.1435265 


s: 381 
logit 381 : -0.4520096 
logit mean 381 : -0.452553 
logit RMSE 381 : 0.0712462 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 381 : -0.5669802 
boosting mean 381 : -0.4425395 
boosting RMSE 381 : 0.1539578 

forest 381 : -0.448886 
forest mean 381 : -0.4073974 
forest RMSE 381 : 0.05636542 

nnet 381 : -0.1361544 
nnet mean 381 : -0.4115111 
nnet RMSE 381 : 0.143974 


s: 382 
logit 382 : -0.3918767 
logit mean 382 : -0.4523942 
logit RMSE 382 : 0.0711541 

boosting 382 : -0.342913 
boosting mean 382 : -0.4422787 
boosting RMSE 382 : 0.1537839 

forest 382 : -0.4511737 
forest mean 382 : -0.407512 
forest RMSE 382 : 0.05635245 

nnet 382 : -0.6200625 
nnet mean 382 : -0.4120571 
nnet RMSE 382 : 0.1442256 


s: 383 
logit 383 : -0.4683718 
logit mean 383 : -0.4524359 
logit RMSE 383 : 0.07114697 

boosting 383 : -0.2222932 
boosting mean 383 : -0.4417043 
boosting RMSE 383 : 0.1538512 

forest 383 : -0.4240104 
forest mean 383 : -0.4075551 
forest RMSE 383 : 0.05629221 

nnet 383 : -0.5550211 
nnet mean 383 : -0.4124304 
nnet RMSE 383 : 0.1442548 


s: 384 
logit 384 : -0.4428046 
logit mean 384 : -0.4524108 
logit RMSE 384 : 0.07108784 

boosting 384 : -0.453649 
boosting mean 384 : -0.4417354 
boosting RMSE 384 : 0.1536751 

forest 384 : -0.3690207 
forest mean 384 : -0.4074547 
forest RMSE 384 : 0.05624109 

nnet 384 : -0.2531761 
nnet mean 384 : -0.4120156 
nnet RMSE 384 : 0.1442616 


s: 385 
logit 385 : -0.529198 
logit mean 385 : -0.4526103 
logit RMSE 385 : 0.07130015 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 385 : -0.5648386 
boosting mean 385 : -0.4420552 
boosting RMSE 385 : 0.1537052 

forest 385 : -0.3063016 
forest mean 385 : -0.407192 
forest RMSE 385 : 0.05637063 

nnet 385 : -0.5032393 
nnet mean 385 : -0.4122526 
nnet RMSE 385 : 0.1441701 


s: 386 
logit 386 : -0.4289107 
logit mean 386 : -0.4525489 
logit RMSE 386 : 0.07122294 

boosting 386 : -0.3942201 
boosting mean 386 : -0.4419312 
boosting RMSE 386 : 0.1535062 

forest 386 : -0.3462671 
forest mean 386 : -0.4070341 
forest RMSE 386 : 0.05636395 

nnet 386 : -0.6565976 
nnet mean 386 : -0.4128856 
nnet RMSE 386 : 0.1445744 


s: 387 
logit 387 : -0.5097073 
logit mean 387 : -0.4526966 
logit RMSE 387 : 0.07134913 

boosting 387 : -0.276316 
boosting mean 387 : -0.4415033 
boosting RMSE 387 : 0.1534367 

forest 387 : -0.3841576 
forest mean 387 : -0.406975 
forest RMSE 387 : 0.05629684 

nnet 387 : -0.3400997 
nnet mean 387 : -0.4126975 
nnet RMSE 387 : 0.1444196 


s: 388 
logit 388 : -0.4629328 
logit mean 388 : -0.4527230 
logit RMSE 388 : 0.07132872 

boosting 388 : -0.2758724 
boosting mean 388 : -0.4410764 
boosting RMSE 388 : 0.1533683 

forest 388 : -0.3631630 
forest mean 388 : -0.4068621 
forest RMSE 388 : 0.05625534 

nnet 388 : -0.3380429 
nnet mean 388 : -0.4125051 
nnet RMSE 388 : 0.1442677 


s: 389 
logit 389 : -0.4642982 
logit mean 389 : -0.4527527 
logit RMSE 389 : 0.07131153 

boosting 389 : -0.1806828 
boosting mean 389 : -0.440407 
boosting RMSE 389 : 0.1535742 

forest 389 : -0.4988146 
forest mean 389 : -0.4070985 
forest RMSE 389 : 0.05640593 

nnet 389 : -0.03156185 
nnet mean 389 : -0.4115258 
nnet RMSE 389 : 0.1452880 


s: 390 
logit 390 : -0.4607648 
logit mean 390 : -0.4527733 
logit RMSE 390 : 0.07128649 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 390 : -0.536923 
boosting mean 390 : -0.4406545 
boosting RMSE 390 : 0.1535338 

forest 390 : -0.4150509 
forest mean 390 : -0.4071189 
forest RMSE 390 : 0.05633873 

nnet 390 : -0.5670198 
nnet mean 390 : -0.4119245 
nnet RMSE 390 : 0.1453479 


s: 391 
logit 391 : -0.4082173 
logit mean 391 : -0.4526593 
logit RMSE 391 : 0.07119648 

boosting 391 : -0.3229257 
boosting mean 391 : -0.4403534 
boosting RMSE 391 : 0.1533869 

forest 391 : -0.4486109 
forest mean 391 : -0.407225 
forest RMSE 391 : 0.05632032 

nnet 391 : -0.3419281 
nnet mean 391 : -0.4117455 
nnet RMSE 391 : 0.1451916 


s: 392 
logit 392 : -0.4678833 
logit mean 392 : -0.4526981 
logit RMSE 392 : 0.07118823 

boosting 392 : -0.41423 
boosting mean 392 : -0.4402868 
boosting RMSE 392 : 0.1531928 

forest 392 : -0.429348 
forest mean 392 : -0.4072814 
forest RMSE 392 : 0.05626796 

nnet 392 : -0.5071383 
nnet mean 392 : -0.4119888 
nnet RMSE 392 : 0.1451073 


s: 393 
logit 393 : -0.4443094 
logit mean 393 : -0.4526768 
logit RMSE 393 : 0.07113272 

boosting 393 : -0.2183855 
boosting mean 393 : -0.4397221 
boosting RMSE 393 : 0.1532718 

forest 393 : -0.4052248 
forest mean 393 : -0.4072762 
forest RMSE 393 : 0.05619695 

nnet 393 : -0.3332957 
nnet mean 393 : -0.4117886 
nnet RMSE 393 : 0.1449616 


s: 394 
logit 394 : -0.3480317 
logit mean 394 : -0.4524112 
logit RMSE 394 : 0.07109062 

boosting 394 : -0.2922016 
boosting mean 394 : -0.4393477 
boosting RMSE 394 : 0.1531734 

forest 394 : -0.4420777 
forest mean 394 : -0.4073645 
forest RMSE 394 : 0.0561656 

nnet 394 : -0.4421582 
nnet mean 394 : -0.4118657 
nnet RMSE 394 : 0.1447931 


s: 395 
logit 395 : -0.4282566 
logit mean 395 : -0.45235 
logit RMSE 395 : 0.07101481 

boosting 395 : -0.5122784 
boosting mean 395 : -0.4395323 
boosting RMSE 395 : 0.1530837 

forest 395 : -0.4052938 
forest mean 395 : -0.4073593 
forest RMSE 395 : 0.05609509 

nnet 395 : -0.5179091 
nnet mean 395 : -0.4121342 
nnet RMSE 395 : 0.1447313 


s: 396 
logit 396 : -0.4359408 
logit mean 396 : -0.4523086 
logit RMSE 396 : 0.07094808 

boosting 396 : -0.543139 
boosting mean 396 : -0.439794 
boosting RMSE 396 : 0.1530594 

forest 396 : -0.3574817 
forest mean 396 : -0.4072333 
forest RMSE 396 : 0.05606495 

nnet 396 : -0.5844029 
nnet mean 396 : -0.4125692 
nnet RMSE 396 : 0.1448452 


s: 397 
logit 397 : -0.4562892 
logit mean 397 : -0.4523186 
logit RMSE 397 : 0.07091496 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 397 : -0.5438864 
boosting mean 397 : -0.4400562 
boosting RMSE 397 : 0.153037 

forest 397 : -0.4974388 
forest mean 397 : -0.4074605 
forest RMSE 397 : 0.05620744 

nnet 397 : -0.5837705 
nnet mean 397 : -0.4130004 
nnet RMSE 397 : 0.1449564 


s: 398 
logit 398 : -0.4768836 
logit mean 398 : -0.4523804 
logit RMSE 398 : 0.07093059 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 398 : -0.4390792 
boosting mean 398 : -0.4400537 
boosting RMSE 398 : 0.1528572 

forest 398 : -0.3990188 
forest mean 398 : -0.4074393 
forest RMSE 398 : 0.0561368 

nnet 398 : -0.3255694 
nnet mean 398 : -0.4127807 
nnet RMSE 398 : 0.1448222 


s: 399 
logit 399 : -0.3989366 
logit mean 399 : -0.4522464 
logit RMSE 399 : 0.07084167 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 399 : -0.4589807 
boosting mean 399 : -0.4401012 
boosting RMSE 399 : 0.1526941 

forest 399 : -0.4600673 
forest mean 399 : -0.4075712 
forest RMSE 399 : 0.056147 

nnet 399 : -0.3879854 
nnet mean 399 : -0.4127186 
nnet RMSE 399 : 0.1446419 


s: 400 
logit 400 : -0.4689309 
logit mean 400 : -0.4522881 
logit RMSE 400 : 0.07083695 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 400 : -0.4126926 
boosting mean 400 : -0.4400326 
boosting RMSE 400 : 0.1525044 

forest 400 : -0.3966225 
forest mean 400 : -0.4075439 
forest RMSE 400 : 0.05607703 

nnet 400 : -0.5170914 
nnet mean 400 : -0.4129795 
nnet RMSE 400 : 0.1445796 


s: 401 
logit 401 : -0.5257092 
logit mean 401 : -0.4524712 
logit RMSE 401 : 0.07102654 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 401 : -0.4095467 
boosting mean 401 : -0.4399566 
boosting RMSE 401 : 0.1523149 

forest 401 : -0.4862423 
forest mean 401 : -0.4077401 
forest RMSE 401 : 0.0561724 

nnet 401 : -0.5562218 
nnet mean 401 : -0.4133367 
nnet RMSE 401 : 0.1446098 


s: 402 
logit 402 : -0.4560437 
logit mean 402 : -0.4524801 
logit RMSE 402 : 0.07099319 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 402 : -0.4358189 
boosting mean 402 : -0.4399463 
boosting RMSE 402 : 0.1521358 

forest 402 : -0.3487817 
forest mean 402 : -0.4075935 
forest RMSE 402 : 0.05616062 

nnet 402 : -0.2139054 
nnet mean 402 : -0.4128406 
nnet RMSE 402 : 0.1447277 


s: 403 
logit 403 : -0.4019788 
logit mean 403 : -0.4523548 
logit RMSE 403 : 0.07090512 

boosting 403 : -0.5209061 
boosting mean 403 : -0.4401472 
boosting RMSE 403 : 0.1520662 

forest 403 : -0.4540876 
forest mean 403 : -0.4077088 
forest RMSE 403 : 0.05615557 

nnet 403 : -0.1231816 
nnet mean 403 : -0.4121219 
nnet RMSE 403 : 0.1452043 


s: 404 
logit 404 : -0.4024502 
logit mean 404 : -0.4522313 
logit RMSE 404 : 0.07081742 

boosting 404 : -0.2557842 
boosting mean 404 : -0.4396909 
boosting RMSE 404 : 0.1520473 

forest 404 : -0.3783728 
forest mean 404 : -0.4076362 
forest RMSE 404 : 0.05609635 

nnet 404 : -0.1542437 
nnet mean 404 : -0.4114836 
nnet RMSE 404 : 0.1455389 


s: 405 
logit 405 : -0.3843478 
logit mean 405 : -0.4520636 
logit RMSE 405 : 0.07073421 

boosting 405 : -0.4413736 
boosting mean 405 : -0.439695 
boosting RMSE 405 : 0.1518734 

forest 405 : -0.4114148 
forest mean 405 : -0.4076455 
forest RMSE 405 : 0.05602992 

nnet 405 : -0.5710508 
nnet mean 405 : -0.4118776 
nnet RMSE 405 : 0.1456074 


s: 406 
logit 406 : -0.4390726 
logit mean 406 : -0.4520317 
logit RMSE 406 : 0.07067366 

boosting 406 : -0.2739008 
boosting mean 406 : -0.4392867 
boosting RMSE 406 : 0.1518153 

forest 406 : -0.3437798 
forest mean 406 : -0.4074882 
forest RMSE 406 : 0.05603039 

nnet 406 : -0.4338086 
nnet mean 406 : -0.4119316 
nnet RMSE 406 : 0.1454377 


s: 407 
logit 407 : -0.4631281 
logit mean 407 : -0.4520589 
logit RMSE 407 : 0.0706561 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 407 : -0.5430423 
boosting mean 407 : -0.4395416 
boosting RMSE 407 : 0.1517943 

forest 407 : -0.5347754 
forest mean 407 : -0.407801 
forest RMSE 407 : 0.05635886 

nnet 407 : -0.3723427 
nnet mean 407 : -0.4118343 
nnet RMSE 407 : 0.1452654 


s: 408 
logit 408 : -0.4527199 
logit mean 408 : -0.4520605 
logit RMSE 408 : 0.07061771 

boosting 408 : -0.6807823 
boosting mean 408 : -0.4401329 
boosting RMSE 408 : 0.1522441 

forest 408 : -0.4383812 
forest mean 408 : -0.4078759 
forest RMSE 408 : 0.05632182 

nnet 408 : -0.2705428 
nnet mean 408 : -0.411488 
nnet RMSE 408 : 0.1452287 


s: 409 
logit 409 : -0.4249477 
logit mean 409 : -0.4519942 
logit RMSE 409 : 0.07054212 

boosting 409 : -0.4808392 
boosting mean 409 : -0.4402324 
boosting RMSE 409 : 0.1521104 

forest 409 : -0.394989 
forest mean 409 : -0.4078444 
forest RMSE 409 : 0.05625347 

nnet 409 : -0.3839735 
nnet mean 409 : -0.4114207 
nnet RMSE 409 : 0.1450532 


s: 410 
logit 410 : -0.3764132 
logit mean 410 : -0.4518099 
logit RMSE 410 : 0.07046567 

boosting 410 : -0.6953557 
boosting mean 410 : -0.4408546 
boosting RMSE 410 : 0.1526235 

forest 410 : -0.5152279 
forest mean 410 : -0.4081063 
forest RMSE 410 : 0.05647228 

nnet 410 : -0.6113768 
nnet mean 410 : -0.4119084 
nnet RMSE 410 : 0.1452519 


s: 411 
logit 411 : -0.4808333 
logit mean 411 : -0.4518805 
logit RMSE 411 : 0.07049274 

boosting 411 : -0.6244597 
boosting mean 411 : -0.4413014 
boosting RMSE 411 : 0.1528392 

forest 411 : -0.4366084 
forest mean 411 : -0.4081757 
forest RMSE 411 : 0.05643243 

nnet 411 : -0.5159601 
nnet mean 411 : -0.4121616 
nnet RMSE 411 : 0.1451878 


s: 412 
logit 412 : -0.4302145 
logit mean 412 : -0.4518279 
logit RMSE 412 : 0.07042288 

boosting 412 : -0.3155429 
boosting mean 412 : -0.4409961 
boosting RMSE 412 : 0.1527103 

forest 412 : -0.3838414 
forest mean 412 : -0.4081166 
forest RMSE 412 : 0.05636953 

nnet 412 : -0.5812172 
nnet mean 412 : -0.4125719 
nnet RMSE 412 : 0.1452860 


s: 413 
logit 413 : -0.4222066 
logit mean 413 : -0.4517562 
logit RMSE 413 : 0.07034605 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 413 : -0.4991775 
boosting mean 413 : -0.441137 
boosting RMSE 413 : 0.1526034 

forest 413 : -0.4155821 
forest mean 413 : -0.4081347 
forest RMSE 413 : 0.05630646 

nnet 413 : -0.5325223 
nnet mean 413 : -0.4128624 
nnet RMSE 413 : 0.1452565 


s: 414 
logit 414 : -0.5273765 
logit mean 414 : -0.4519389 
logit RMSE 414 : 0.07053938 

boosting 414 : -0.4835228 
boosting mean 414 : -0.4412394 
boosting RMSE 414 : 0.1524742 

forest 414 : -0.4137977 
forest mean 414 : -0.4081484 
forest RMSE 414 : 0.05624251 

nnet 414 : -0.5120621 
nnet mean 414 : -0.413102 
nnet RMSE 414 : 0.1451854 


s: 415 
logit 415 : -0.3721854 
logit mean 415 : -0.4517467 
logit RMSE 415 : 0.07046757 

boosting 415 : -0.3544607 
boosting mean 415 : -0.4410303 
boosting RMSE 415 : 0.1523068 

forest 415 : -0.4759165 
forest mean 415 : -0.4083117 
forest RMSE 415 : 0.05629818 

nnet 415 : -0.3090695 
nnet mean 415 : -0.4128513 
nnet RMSE 415 : 0.1450791 


s: 416 
logit 416 : -0.4815773 
logit mean 416 : -0.4518184 
logit RMSE 416 : 0.07049638 

boosting 416 : -0.4199509 
boosting mean 416 : -0.4409796 
boosting RMSE 416 : 0.1521268 

forest 416 : -0.3550035 
forest mean 416 : -0.4081835 
forest RMSE 416 : 0.05627373 

nnet 416 : -0.3062017 
nnet mean 416 : -0.4125949 
nnet RMSE 416 : 0.1449776 


s: 417 
logit 417 : -0.4656908 
logit mean 417 : -0.4518517 
logit RMSE 417 : 0.07048525 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 417 : -0.3375747 
boosting mean 417 : -0.4407316 
boosting RMSE 417 : 0.1519750 

forest 417 : -0.359672 
forest mean 417 : -0.4080672 
forest RMSE 417 : 0.0562409 

nnet 417 : -0.4851795 
nnet mean 417 : -0.412769 
nnet RMSE 417 : 0.1448637 


s: 418 
logit 418 : -0.4881715 
logit mean 418 : -0.4519386 
logit RMSE 418 : 0.07053285 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 418 : -0.5054534 
boosting mean 418 : -0.4408865 
boosting RMSE 418 : 0.1518808 

forest 418 : -0.4462871 
forest mean 418 : -0.4081586 
forest RMSE 418 : 0.05621919 

nnet 418 : -0.3445501 
nnet mean 418 : -0.4126058 
nnet RMSE 418 : 0.1447157 


s: 419 
logit 419 : -0.5250559 
logit mean 419 : -0.4521131 
logit RMSE 419 : 0.07071304 

boosting 419 : -0.4952076 
boosting mean 419 : -0.4410161 
boosting RMSE 419 : 0.1517707 

forest 419 : -0.3554601 
forest mean 419 : -0.4080329 
forest RMSE 419 : 0.05619421 

nnet 419 : -0.2442114 
nnet mean 419 : -0.4122039 
nnet RMSE 419 : 0.1447432 


s: 420 
logit 420 : -0.4657921 
logit mean 420 : -0.4521456 
logit RMSE 420 : 0.07070173 

boosting 420 : -0.552614 
boosting mean 420 : -0.4412818 
boosting RMSE 420 : 0.1517727 

forest 420 : -0.3647797 
forest mean 420 : -0.4079299 
forest RMSE 420 : 0.05615357 

nnet 420 : -0.4965512 
nnet mean 420 : -0.4124047 
nnet RMSE 420 : 0.1446475 


s: 421 
logit 421 : -0.3540259 
logit mean 421 : -0.4519126 
logit RMSE 421 : 0.07065325 

boosting 421 : -0.3740546 
boosting mean 421 : -0.4411221 
boosting RMSE 421 : 0.1515976 

forest 421 : -0.2782543 
forest mean 421 : -0.4076219 
forest RMSE 421 : 0.05639983 

nnet 421 : -0.4700633 
nnet mean 421 : -0.4125417 
nnet RMSE 421 : 0.1445160 


s: 422 
logit 422 : -0.4313006 
logit mean 422 : -0.4518637 
logit RMSE 422 : 0.07058594 

boosting 422 : -0.6154384 
boosting mean 422 : -0.4415352 
boosting RMSE 422 : 0.1517806 

forest 422 : -0.3609755 
forest mean 422 : -0.4075113 
forest RMSE 422 : 0.05636499 

nnet 422 : -0.2244394 
nnet mean 422 : -0.4120959 
nnet RMSE 422 : 0.1445974 


s: 423 
logit 423 : -0.4358529 
logit mean 423 : -0.4518259 
logit RMSE 423 : 0.070524 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 423 : -0.5781615 
boosting mean 423 : -0.4418582 
boosting RMSE 423 : 0.1518484 

forest 423 : -0.4185694 
forest mean 423 : -0.4075375 
forest RMSE 423 : 0.05630556 

nnet 423 : -0.4609658 
nnet mean 423 : -0.4122115 
nnet RMSE 423 : 0.1444568 


s: 424 
logit 424 : -0.4578028 
logit mean 424 : -0.45184 
logit RMSE 424 : 0.0704967 

boosting 424 : -0.2698371 
boosting mean 424 : -0.4414525 
boosting RMSE 424 : 0.1518009 

forest 424 : -0.3568795 
forest mean 424 : -0.407418 
forest RMSE 424 : 0.0562781 

nnet 424 : -0.6204758 
nnet mean 424 : -0.4127027 
nnet RMSE 424 : 0.1446831 


s: 425 
logit 425 : -0.4723925 
logit mean 425 : -0.4518883 
logit RMSE 425 : 0.07050122 

boosting 425 : -0.5062977 
boosting mean 425 : -0.4416051 
boosting RMSE 425 : 0.1517099 

forest 425 : -0.3603558 
forest mean 425 : -0.4073073 
forest RMSE 425 : 0.05624473 

nnet 425 : -0.4043837 
nnet mean 425 : -0.4126831 
nnet RMSE 425 : 0.1445129 


s: 426 
logit 426 : -0.4439057 
logit mean 426 : -0.4518696 
logit RMSE 426 : 0.07045054 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 426 : -0.5145389 
boosting mean 426 : -0.4417763 
boosting RMSE 426 : 0.1516333 

forest 426 : -0.4032618 
forest mean 426 : -0.4072978 
forest RMSE 426 : 0.0561789 

nnet 426 : -0.3707596 
nnet mean 426 : -0.4125847 
nnet RMSE 426 : 0.1443502 


s: 427 
logit 427 : -0.5138402 
logit mean 427 : -0.4520147 
logit RMSE 427 : 0.07058333 

boosting 427 : -0.2427833 
boosting mean 427 : -0.4413103 
boosting RMSE 427 : 0.1516466 

forest 427 : -0.3767931 
forest mean 427 : -0.4072263 
forest RMSE 427 : 0.05612432 

nnet 427 : -0.2781565 
nnet mean 427 : -0.4122699 
nnet RMSE 427 : 0.1443016 


s: 428 
logit 428 : -0.4436588 
logit mean 428 : -0.4519952 
logit RMSE 428 : 0.0705324 

boosting 428 : -0.3213582 
boosting mean 428 : -0.44103 
boosting RMSE 428 : 0.1515170 

forest 428 : -0.2567365 
forest mean 428 : -0.4068747 
forest RMSE 428 : 0.05648481 

nnet 428 : -0.3788283 
nnet mean 428 : -0.4121917 
nnet RMSE 428 : 0.1441365 


s: 429 
logit 429 : -0.3781668 
logit mean 429 : -0.4518231 
logit RMSE 429 : 0.07045803 

boosting 429 : -0.6537118 
boosting mean 429 : -0.4415258 
boosting RMSE 429 : 0.1518352 

forest 429 : -0.4729166 
forest mean 429 : -0.4070286 
forest RMSE 429 : 0.05652867 

nnet 429 : -0.5821453 
nnet mean 429 : -0.4125879 
nnet RMSE 429 : 0.1442368 


s: 430 
logit 430 : -0.409905 
logit mean 430 : -0.4517256 
logit RMSE 430 : 0.07037768 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 430 : -0.477009 
boosting mean 430 : -0.4416083 
boosting RMSE 430 : 0.1517041 

forest 430 : -0.4347318 
forest mean 430 : -0.4070931 
forest RMSE 430 : 0.05648773 

nnet 430 : -0.4996366 
nnet mean 430 : -0.4127903 
nnet RMSE 430 : 0.1441490 


s: 431 
logit 431 : -0.387193 
logit mean 431 : -0.4515759 
logit RMSE 431 : 0.07029869 

boosting 431 : -0.1714592 
boosting mean 431 : -0.4409815 
boosting RMSE 431 : 0.1519273 

forest 431 : -0.3716751 
forest mean 431 : -0.4070109 
forest RMSE 431 : 0.05643866 

nnet 431 : -0.3711762 
nnet mean 431 : -0.4126938 
nnet RMSE 431 : 0.1439884 


s: 432 
logit 432 : -0.4415646 
logit mean 432 : -0.4515527 
logit RMSE 432 : 0.07024575 

boosting 432 : -0.3718183 
boosting mean 432 : -0.4408214 
boosting RMSE 432 : 0.1517574 

forest 432 : -0.5270481 
forest mean 432 : -0.4072888 
forest RMSE 432 : 0.05670373 

nnet 432 : -0.4034632 
nnet mean 432 : -0.4126724 
nnet RMSE 432 : 0.1438218 


s: 433 
logit 433 : -0.4192612 
logit mean 433 : -0.4514781 
logit RMSE 433 : 0.0701707 

boosting 433 : -0.6621821 
boosting mean 433 : -0.4413326 
boosting RMSE 433 : 0.1521048 

forest 433 : -0.462829 
forest mean 433 : -0.407417 
forest RMSE 433 : 0.05671864 

nnet 433 : 0.1496337 
nnet mean 433 : -0.4113738 
nnet RMSE 433 : 0.1460637 


s: 434 
logit 434 : -0.4018257 
logit mean 434 : -0.4513637 
logit RMSE 434 : 0.07008986 

boosting 434 : -0.5602705 
boosting mean 434 : -0.4416067 
boosting RMSE 434 : 0.1521241 

forest 434 : -0.5548899 
forest mean 434 : -0.4077568 
forest RMSE 434 : 0.05713904 

nnet 434 : -0.503199 
nnet mean 434 : -0.4115854 
nnet RMSE 434 : 0.1459794 


s: 435 
logit 435 : -0.5401695 
logit mean 435 : -0.4515679 
logit RMSE 435 : 0.07033109 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 435 : -0.09400607 
boosting mean 435 : -0.4408076 
boosting RMSE 435 : 0.1526558 

forest 435 : -0.3501965 
forest mean 435 : -0.4076245 
forest RMSE 435 : 0.05712326 

nnet 435 : -0.1598461 
nnet mean 435 : -0.4110066 
nnet RMSE 435 : 0.1462655 


s: 436 
logit 436 : -0.3459361 
logit mean 436 : -0.4513256 
logit RMSE 436 : 0.07029808 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 436 : -0.3971303 
boosting mean 436 : -0.4407074 
boosting RMSE 436 : 0.1524807 

forest 436 : -0.3808746 
forest mean 436 : -0.4075632 
forest RMSE 436 : 0.05706506 

nnet 436 : -0.684959 
nnet mean 436 : -0.411635 
nnet RMSE 436 : 0.1467336 


s: 437 
logit 437 : -0.4742459 
logit mean 437 : -0.4513781 
logit RMSE 437 : 0.07030737 

boosting 437 : -0.422046 
boosting mean 437 : -0.4406647 
boosting RMSE 437 : 0.1523098 

forest 437 : -0.4107076 
forest mean 437 : -0.4075703 
forest RMSE 437 : 0.05700203 

nnet 437 : -0.6637037 
nnet mean 437 : -0.4122118 
nnet RMSE 437 : 0.1471075 


s: 438 
logit 438 : -0.4180563 
logit mean 438 : -0.451302 
logit RMSE 438 : 0.07023237 

boosting 438 : -0.1815209 
boosting mean 438 : -0.440073 
boosting RMSE 438 : 0.1524936 

forest 438 : -0.405939 
forest mean 438 : -0.4075666 
forest RMSE 438 : 0.05693763 

nnet 438 : -0.2276772 
nnet mean 438 : -0.4117905 
nnet RMSE 438 : 0.14717 


s: 439 
logit 439 : -0.526776 
logit mean 439 : -0.4514739 
logit RMSE 439 : 0.07041278 

boosting 439 : -0.529895 
boosting mean 439 : -0.4402776 
boosting RMSE 439 : 0.1524459 

forest 439 : -0.4581843 
forest mean 439 : -0.4076819 
forest RMSE 439 : 0.0569405 

nnet 439 : -0.2890932 
nnet mean 439 : -0.411511 
nnet RMSE 439 : 0.1470976 


s: 440 
logit 440 : -0.3948324 
logit mean 440 : -0.4513452 
logit RMSE 440 : 0.07033315 

boosting 440 : -0.5115976 
boosting mean 440 : -0.4404397 
boosting RMSE 440 : 0.1523655 

forest 440 : -0.446124 
forest mean 440 : -0.4077693 
forest RMSE 440 : 0.05691825 

nnet 440 : -0.1756687 
nnet mean 440 : -0.410975 
nnet RMSE 440 : 0.147319 


s: 441 
logit 441 : -0.4619418 
logit mean 441 : -0.4513692 
logit RMSE 441 : 0.07031526 

boosting 441 : -0.2669982 
boosting mean 441 : -0.4400464 
boosting RMSE 441 : 0.1523244 

forest 441 : -0.3986069 
forest mean 441 : -0.4077485 
forest RMSE 441 : 0.05685372 

nnet 441 : -0.5693897 
nnet mean 441 : -0.4113342 
nnet RMSE 441 : 0.1473728 


s: 442 
logit 442 : -0.461302 
logit mean 442 : -0.4513917 
logit RMSE 442 : 0.07029617 

boosting 442 : -0.4447 
boosting mean 442 : -0.440057 
boosting RMSE 442 : 0.1521668 

forest 442 : -0.3789028 
forest mean 442 : -0.4076833 
forest RMSE 442 : 0.05679823 

nnet 442 : -0.2872869 
nnet mean 442 : -0.4110535 
nnet RMSE 442 : 0.1473036 


s: 443 
logit 443 : -0.4013677 
logit mean 443 : -0.4512788 
logit RMSE 443 : 0.07021682 

boosting 443 : -0.4329725 
boosting mean 443 : -0.440041 
boosting RMSE 443 : 0.1520031 

forest 443 : -0.4126413 
forest mean 443 : -0.4076944 
forest RMSE 443 : 0.05673727 

nnet 443 : -0.3971648 
nnet mean 443 : -0.4110222 
nnet RMSE 443 : 0.1471373 


s: 444 
logit 444 : -0.4202299 
logit mean 444 : -0.4512088 
logit RMSE 444 : 0.07014427 

boosting 444 : -0.5136785 
boosting mean 444 : -0.4402068 
boosting RMSE 444 : 0.1519276 

forest 444 : -0.4200476 
forest mean 444 : -0.4077223 
forest RMSE 444 : 0.05668133 

nnet 444 : -0.1442314 
nnet mean 444 : -0.4104213 
nnet RMSE 444 : 0.1474719 


s: 445 
logit 445 : -0.467657 
logit mean 445 : -0.4512458 
logit RMSE 445 : 0.07013878 

boosting 445 : -0.3303284 
boosting mean 445 : -0.4399599 
boosting RMSE 445 : 0.1517927 

forest 445 : -0.3157461 
forest mean 445 : -0.4075156 
forest RMSE 445 : 0.05675831 

nnet 445 : -0.4263044 
nnet mean 445 : -0.410457 
nnet RMSE 445 : 0.1473114 


s: 446 
logit 446 : -0.4182841 
logit mean 446 : -0.4511719 
logit RMSE 446 : 0.07006545 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 446 : -0.5919297 
boosting mean 446 : -0.4403007 
boosting RMSE 446 : 0.1518946 

forest 446 : -0.358182 
forest mean 446 : -0.407405 
forest RMSE 446 : 0.05672921 

nnet 446 : -0.4805524 
nnet mean 446 : -0.4106142 
nnet RMSE 446 : 0.1471956 


s: 447 
logit 447 : -0.3959882 
logit mean 447 : -0.4510484 
logit RMSE 447 : 0.06998729 

boosting 447 : -0.3286213 
boosting mean 447 : -0.4400508 
boosting RMSE 447 : 0.1517622 

forest 447 : -0.3962999 
forest mean 447 : -0.4073801 
forest RMSE 447 : 0.05666599 

nnet 447 : -0.3968682 
nnet mean 447 : -0.4105834 
nnet RMSE 447 : 0.1470309 


s: 448 
logit 448 : -0.4266443 
logit mean 448 : -0.4509940 
logit RMSE 448 : 0.06992047 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 448 : -0.2955445 
boosting mean 448 : -0.4397283 
boosting RMSE 448 : 0.151673 

forest 448 : -0.4000093 
forest mean 448 : -0.4073637 
forest RMSE 448 : 0.05660271 

nnet 448 : -0.5019373 
nnet mean 448 : -0.4107873 
nnet RMSE 448 : 0.1469457 


s: 449 
logit 449 : -0.4527432 
logit mean 449 : -0.4509978 
logit RMSE 449 : 0.0698869 

boosting 449 : -0.4352653 
boosting mean 449 : -0.4397183 
boosting RMSE 449 : 0.1515131 

forest 449 : -0.3847683 
forest mean 449 : -0.4073133 
forest RMSE 449 : 0.05654421 

nnet 449 : -0.3922539 
nnet mean 449 : -0.4107461 
nnet RMSE 449 : 0.1467824 


s: 450 
logit 450 : -0.4187509 
logit mean 450 : -0.4509262 
logit RMSE 450 : 0.0698148 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 450 : -0.5405024 
boosting mean 450 : -0.4399423 
boosting RMSE 450 : 0.1514896 

forest 450 : -0.4696456 
forest mean 450 : -0.4074519 
forest RMSE 450 : 0.05657669 

nnet 450 : -0.4625711 
nnet mean 450 : -0.4108612 
nnet RMSE 450 : 0.1466489 


s: 451 
logit 451 : -0.5069591 
logit mean 451 : -0.4510504 
logit RMSE 451 : 0.069919 

boosting 451 : -0.3306512 
boosting mean 451 : -0.4397000 
boosting RMSE 451 : 0.1513567 

forest 451 : -0.5441101 
forest mean 451 : -0.4077549 
forest RMSE 451 : 0.05691988 

nnet 451 : -0.3136024 
nnet mean 451 : -0.4106456 
nnet RMSE 451 : 0.1465427 


s: 452 
logit 452 : -0.5094681 
logit mean 452 : -0.4511797 
logit RMSE 452 : 0.07003115 

boosting 452 : -0.4618018 
boosting mean 452 : -0.4397488 
boosting RMSE 452 : 0.1512172 

forest 452 : -0.4094741 
forest mean 452 : -0.4077587 
forest RMSE 452 : 0.05685863 

nnet 452 : -0.3453181 
nnet mean 452 : -0.4105010 
nnet RMSE 452 : 0.1464031 


s: 453 
logit 453 : -0.4348815 
logit mean 453 : -0.4511437 
logit RMSE 453 : 0.06997301 

boosting 453 : -0.5140049 
boosting mean 453 : -0.4399128 
boosting RMSE 453 : 0.1511451 

forest 453 : -0.3710514 
forest mean 453 : -0.4076776 
forest RMSE 453 : 0.05681212 

nnet 453 : -0.4968267 
nnet mean 453 : -0.4106916 
nnet RMSE 453 : 0.1463121 


s: 454 
logit 454 : -0.4281804 
logit mean 454 : -0.4510931 
logit RMSE 454 : 0.06990841 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 454 : -0.4067188 
boosting mean 454 : -0.4398397 
boosting RMSE 454 : 0.1509789 

forest 454 : -0.4163062 
forest mean 454 : -0.4076967 
forest RMSE 454 : 0.05675467 

nnet 454 : -0.1693563 
nnet mean 454 : -0.41016 
nnet RMSE 454 : 0.1465512 


s: 455 
logit 455 : -0.4645057 
logit mean 455 : -0.4511226 
logit RMSE 455 : 0.069897 

boosting 455 : -0.5203979 
boosting mean 455 : -0.4400167 
boosting RMSE 455 : 0.1509185 

forest 455 : -0.31439 
forest mean 455 : -0.4074916 
forest RMSE 455 : 0.05683416 

nnet 455 : -0.4633305 
nnet mean 455 : -0.4102769 
nnet RMSE 455 : 0.1464202 


s: 456 
logit 456 : -0.4098438 
logit mean 456 : -0.4510321 
logit RMSE 456 : 0.06982184 

boosting 456 : -0.3065162 
boosting mean 456 : -0.4397239 
boosting RMSE 456 : 0.1508164 

forest 456 : -0.4081047 
forest mean 456 : -0.4074929 
forest RMSE 456 : 0.05677307 

nnet 456 : -0.3144621 
nnet mean 456 : -0.4100668 
nnet RMSE 456 : 0.1463144 


s: 457 
logit 457 : -0.4108522 
logit mean 457 : -0.4509441 
logit RMSE 457 : 0.06974725 

boosting 457 : -0.3738138 
boosting mean 457 : -0.4395797 
boosting RMSE 457 : 0.1506563 

forest 457 : -0.4086167 
forest mean 457 : -0.4074954 
forest RMSE 457 : 0.05671236 

nnet 457 : -0.4492463 
nnet mean 457 : -0.4101525 
nnet RMSE 457 : 0.1461724 


s: 458 
logit 458 : -0.4709419 
logit mean 458 : -0.4509878 
logit RMSE 458 : 0.06974988 

boosting 458 : -0.4382629 
boosting mean 458 : -0.4395768 
boosting RMSE 458 : 0.1505024 

forest 458 : -0.3824086 
forest mean 458 : -0.4074406 
forest RMSE 458 : 0.05665637 

nnet 458 : -0.2614828 
nnet mean 458 : -0.4098279 
nnet RMSE 458 : 0.1461561 


s: 459 
logit 459 : -0.4235621 
logit mean 459 : -0.4509281 
logit RMSE 459 : 0.06968254 

boosting 459 : -0.4080432 
boosting mean 459 : -0.4395081 
boosting RMSE 459 : 0.1503388 

forest 459 : -0.3371463 
forest mean 459 : -0.4072875 
forest RMSE 459 : 0.05667061 

nnet 459 : -0.2392093 
nnet mean 459 : -0.4094562 
nnet RMSE 459 : 0.1461896 


s: 460 
logit 460 : -0.4149296 
logit mean 460 : -0.4508498 
logit RMSE 460 : 0.06961024 

boosting 460 : -0.540113 
boosting mean 460 : -0.4397268 
boosting RMSE 460 : 0.1503173 

forest 460 : -0.4304439 
forest mean 460 : -0.4073378 
forest RMSE 460 : 0.05662677 

nnet 460 : -0.5394134 
nnet mean 460 : -0.4097387 
nnet RMSE 460 : 0.1461752 


s: 461 
logit 461 : -0.4479747 
logit mean 461 : -0.4508436 
logit RMSE 461 : 0.06957059 

boosting 461 : -0.4410909 
boosting mean 461 : -0.4397298 
boosting RMSE 461 : 0.1501664 

forest 461 : -0.3828675 
forest mean 461 : -0.4072847 
forest RMSE 461 : 0.05657095 

nnet 461 : -0.3839015 
nnet mean 461 : -0.4096826 
nnet RMSE 461 : 0.1460185 


s: 462 
logit 462 : -0.4853072 
logit mean 462 : -0.4509182 
logit RMSE 462 : 0.06960849 

boosting 462 : -0.0840689 
boosting mean 462 : -0.43896 
boosting RMSE 462 : 0.1507222 

forest 462 : -0.3464886 
forest mean 462 : -0.4071531 
forest RMSE 462 : 0.05656451 

nnet 462 : -0.4044781 
nnet mean 462 : -0.4096714 
nnet RMSE 462 : 0.1458605 


s: 463 
logit 463 : -0.3851887 
logit mean 463 : -0.4507762 
logit RMSE 463 : 0.06953669 

boosting 463 : -0.4871845 
boosting mean 463 : -0.4390641 
boosting RMSE 463 : 0.1506139 

forest 463 : -0.5131313 
forest mean 463 : -0.407382 
forest RMSE 463 : 0.05674748 

nnet 463 : -0.6256312 
nnet mean 463 : -0.4101378 
nnet RMSE 463 : 0.1460798 


s: 464 
logit 464 : -0.5026342 
logit mean 464 : -0.450888 
logit RMSE 464 : 0.06962494 

boosting 464 : -0.3159889 
boosting mean 464 : -0.4387989 
boosting RMSE 464 : 0.1505020 

forest 464 : -0.4544543 
forest mean 464 : -0.4074835 
forest RMSE 464 : 0.05674263 

nnet 464 : -0.2234507 
nnet mean 464 : -0.4097355 
nnet RMSE 464 : 0.1461523 


s: 465 
logit 465 : -0.5319494 
logit mean 465 : -0.4510623 
logit RMSE 465 : 0.06981869 

boosting 465 : -0.3803365 
boosting mean 465 : -0.4386732 
boosting RMSE 465 : 0.1503429 

forest 465 : -0.3704409 
forest mean 465 : -0.4074038 
forest RMSE 465 : 0.05669816 

nnet 465 : -0.230598 
nnet mean 465 : -0.4093502 
nnet RMSE 465 : 0.1462062 


s: 466 
logit 466 : -0.4269187 
logit mean 466 : -0.4510105 
logit RMSE 466 : 0.06975488 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 466 : -0.5472801 
boosting mean 466 : -0.4389062 
boosting RMSE 466 : 0.1503364 

forest 466 : -0.4915348 
forest mean 466 : -0.4075844 
forest RMSE 466 : 0.0567958 

nnet 466 : -0.4204085 
nnet mean 466 : -0.409374 
nnet RMSE 466 : 0.1460523 


s: 467 
logit 467 : -0.4694533 
logit mean 467 : -0.45105 
logit RMSE 467 : 0.06975424 

boosting 467 : -0.3244881 
boosting mean 467 : -0.4386612 
boosting RMSE 467 : 0.1502160 

forest 467 : -0.3673871 
forest mean 467 : -0.4074983 
forest RMSE 467 : 0.05675502 

nnet 467 : -0.4632316 
nnet mean 467 : -0.4094893 
nnet RMSE 467 : 0.1459252 


s: 468 
logit 468 : -0.4736119 
logit mean 468 : -0.4510982 
logit RMSE 468 : 0.0697627 

boosting 468 : -0.3742409 
boosting mean 468 : -0.4385236 
boosting RMSE 468 : 0.1500601 

forest 468 : -0.3217776 
forest mean 468 : -0.4073151 
forest RMSE 468 : 0.05680954 

nnet 468 : -0.4562956 
nnet mean 468 : -0.4095893 
nnet RMSE 468 : 0.1457925 


s: 469 
logit 469 : -0.5254675 
logit mean 469 : -0.4512567 
logit RMSE 469 : 0.0699287 

boosting 469 : -0.5217337 
boosting mean 469 : -0.438701 
boosting RMSE 469 : 0.1500054 

forest 469 : -0.4170523 
forest mean 469 : -0.4073359 
forest RMSE 469 : 0.05675441 

nnet 469 : -0.5149069 
nnet mean 469 : -0.4098139 
nnet RMSE 469 : 0.1457336 


s: 470 
logit 470 : -0.5588946 
logit mean 470 : -0.4514858 
logit RMSE 470 : 0.07023772 

boosting 470 : -0.6363333 
boosting mean 470 : -0.4391215 
boosting RMSE 470 : 0.1502418 

forest 470 : -0.3584883 
forest mean 470 : -0.4072319 
forest RMSE 470 : 0.05672633 

nnet 470 : -0.5342389 
nnet mean 470 : -0.4100786 
nnet RMSE 470 : 0.1457101 


s: 471 
logit 471 : -0.3840046 
logit mean 471 : -0.4513425 
logit RMSE 471 : 0.07016699 

boosting 471 : -0.2930194 
boosting mean 471 : -0.4388113 
boosting RMSE 471 : 0.1501631 

forest 471 : -0.367763 
forest mean 471 : -0.4071481 
forest RMSE 471 : 0.05668554 

nnet 471 : -0.4997366 
nnet mean 471 : -0.4102690 
nnet RMSE 471 : 0.1456278 


s: 472 
logit 472 : -0.4887412 
logit mean 472 : -0.4514217 
logit RMSE 472 : 0.07021153 

boosting 472 : -0.597521 
boosting mean 472 : -0.4391475 
boosting RMSE 472 : 0.1502792 

forest 472 : -0.4362973 
forest mean 472 : -0.4072099 
forest RMSE 472 : 0.0566501 

nnet 472 : -0.5876988 
nnet mean 472 : -0.4106449 
nnet RMSE 472 : 0.1457298 


s: 473 
logit 473 : -0.3461827 
logit mean 473 : -0.4511992 
logit RMSE 473 : 0.07018091 

boosting 473 : -0.3038454 
boosting mean 473 : -0.4388615 
boosting RMSE 473 : 0.1501854 

forest 473 : -0.3347543 
forest mean 473 : -0.4070567 
forest RMSE 473 : 0.05666965 

nnet 473 : -0.6304666 
nnet mean 473 : -0.4111096 
nnet RMSE 473 : 0.1459609 


s: 474 
logit 474 : -0.4130835 
logit mean 474 : -0.4511188 
logit RMSE 474 : 0.07010942 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 474 : -0.1235453 
boosting mean 474 : -0.4381963 
boosting RMSE 474 : 0.1505633 

forest 474 : -0.4352212 
forest mean 474 : -0.4071161 
forest RMSE 474 : 0.05663295 

nnet 474 : -0.2919593 
nnet mean 474 : -0.4108582 
nnet RMSE 474 : 0.1458912 


s: 475 
logit 475 : -0.4412189 
logit mean 475 : -0.451098 
logit RMSE 475 : 0.07006111 

boosting 475 : -0.4342455 
boosting mean 475 : -0.4381879 
boosting RMSE 475 : 0.1504129 

forest 475 : -0.3641261 
forest mean 475 : -0.4070256 
forest RMSE 475 : 0.05659725 

nnet 475 : -0.3279776 
nnet mean 475 : -0.4106837 
nnet RMSE 475 : 0.1457751 


s: 476 
logit 476 : -0.4212753 
logit mean 476 : -0.4510353 
logit RMSE 476 : 0.06999427 

boosting 476 : -0.5180442 
boosting mean 476 : -0.4383557 
boosting RMSE 476 : 0.1503522 

forest 476 : -0.3265784 
forest mean 476 : -0.4068566 
forest RMSE 476 : 0.05663783 

nnet 476 : -0.368748 
nnet mean 476 : -0.4105956 
nnet RMSE 476 : 0.1456289 


s: 477 
logit 477 : -0.4294264 
logit mean 477 : -0.45099 
logit RMSE 477 : 0.06993385 

boosting 477 : -0.3476373 
boosting mean 477 : -0.4381655 
boosting RMSE 477 : 0.1502137 

forest 477 : -0.4362565 
forest mean 477 : -0.4069183 
forest RMSE 477 : 0.05660278 

nnet 477 : -0.4282265 
nnet mean 477 : -0.4106326 
nnet RMSE 477 : 0.1454819 


s: 478 
logit 478 : -0.4570758 
logit mean 478 : -0.4510028 
logit RMSE 478 : 0.06990941 

boosting 478 : -0.5851786 
boosting mean 478 : -0.4384731 
boosting RMSE 478 : 0.1502953 

forest 478 : -0.3301943 
forest mean 478 : -0.4067578 
forest RMSE 478 : 0.05663361 

nnet 478 : -0.3560866 
nnet mean 478 : -0.4105185 
nnet RMSE 478 : 0.1453435 


s: 479 
logit 479 : -0.3990002 
logit mean 479 : -0.4508942 
logit RMSE 479 : 0.06983642 

boosting 479 : -0.2683001 
boosting mean 479 : -0.4381178 
boosting RMSE 479 : 0.1502589 

forest 479 : -0.3830091 
forest mean 479 : -0.4067082 
forest RMSE 479 : 0.05657979 

nnet 479 : -0.3994746 
nnet mean 479 : -0.4104954 
nnet RMSE 479 : 0.1451917 


s: 480 
logit 480 : -0.4333749 
logit mean 480 : -0.4508577 
logit RMSE 480 : 0.06978026 

boosting 480 : -0.6401744 
boosting mean 480 : -0.4385388 
boosting RMSE 480 : 0.1505021 

forest 480 : -0.4036287 
forest mean 480 : -0.4067018 
forest RMSE 480 : 0.05652107 

nnet 480 : -0.2119882 
nnet mean 480 : -0.4100819 
nnet RMSE 480 : 0.1452941 


s: 481 
logit 481 : -0.4669834 
logit mean 481 : -0.4508912 
logit RMSE 481 : 0.06977456 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 481 : -0.4133931 
boosting mean 481 : -0.4384865 
boosting RMSE 481 : 0.1503468 

forest 481 : -0.4407889 
forest mean 481 : -0.4067726 
forest RMSE 481 : 0.0564929 

nnet 481 : -0.1192052 
nnet mean 481 : -0.4094771 
nnet RMSE 481 : 0.1457065 


s: 482 
logit 482 : -0.4931935 
logit mean 482 : -0.450979 
logit RMSE 482 : 0.06983128 

boosting 482 : -0.3629002 
boosting mean 482 : -0.4383297 
boosting RMSE 482 : 0.1502002 

forest 482 : -0.3819448 
forest mean 482 : -0.4067211 
forest RMSE 482 : 0.05644026 

nnet 482 : -0.1483399 
nnet mean 482 : -0.4089354 
nnet RMSE 482 : 0.1460060 


s: 483 
logit 483 : -0.4903268 
logit mean 483 : -0.4510604 
logit RMSE 483 : 0.06987993 

boosting 483 : -0.681499 
boosting mean 483 : -0.4388331 
boosting RMSE 483 : 0.1505904 

forest 483 : -0.3801943 
forest mean 483 : -0.4066662 
forest RMSE 483 : 0.05638901 

nnet 483 : -0.5393086 
nnet mean 483 : -0.4092053 
nnet RMSE 483 : 0.1459924 


s: 484 
logit 484 : -0.4543498 
logit mean 484 : -0.4510672 
logit RMSE 484 : 0.0698514 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 484 : -0.3656575 
boosting mean 484 : -0.4386819 
boosting RMSE 484 : 0.1504428 

forest 484 : -0.4431613 
forest mean 484 : -0.4067416 
forest RMSE 484 : 0.05636488 

nnet 484 : -0.411212 
nnet mean 484 : -0.4092094 
nnet RMSE 484 : 0.1458424 


s: 485 
logit 485 : -0.4420848 
logit mean 485 : -0.4510487 
logit RMSE 485 : 0.06980551 

boosting 485 : -0.4196302 
boosting mean 485 : -0.4386427 
boosting RMSE 485 : 0.1502903 

forest 485 : -0.4223727 
forest mean 485 : -0.4067738 
forest RMSE 485 : 0.0563159 

nnet 485 : -0.6127025 
nnet mean 485 : -0.409629 
nnet RMSE 485 : 0.1460118 


s: 486 
logit 486 : -0.5485386 
logit mean 486 : -0.4512493 
logit RMSE 486 : 0.07005842 

boosting 486 : -0.599414 
boosting mean 486 : -0.4389735 
boosting RMSE 486 : 0.1504078 

forest 486 : -0.4606252 
forest mean 486 : -0.4068846 
forest RMSE 486 : 0.05632511 

nnet 486 : -0.6282956 
nnet mean 486 : -0.4100789 
nnet RMSE 486 : 0.1462286 


s: 487 
logit 487 : -0.4026442 
logit mean 487 : -0.4511495 
logit RMSE 487 : 0.06998655 

boosting 487 : -0.6148372 
boosting mean 487 : -0.4393346 
boosting RMSE 487 : 0.1505684 

forest 487 : -0.4597197 
forest mean 487 : -0.4069931 
forest RMSE 487 : 0.05633229 

nnet 487 : -0.3581935 
nnet mean 487 : -0.4099724 
nnet RMSE 487 : 0.1460907 


s: 488 
logit 488 : -0.4893896 
logit mean 488 : -0.4512279 
logit RMSE 488 : 0.07003181 

boosting 488 : -0.3460519 
boosting mean 488 : -0.4391434 
boosting RMSE 488 : 0.1504339 

forest 488 : -0.3272052 
forest mean 488 : -0.4068296 
forest RMSE 488 : 0.05637094 

nnet 488 : -0.3260804 
nnet mean 488 : -0.4098005 
nnet RMSE 488 : 0.1459793 


s: 489 
logit 489 : -0.4641581 
logit mean 489 : -0.4512543 
logit RMSE 489 : 0.0700203 

boosting 489 : -0.1339929 
boosting mean 489 : -0.4385194 
boosting RMSE 489 : 0.1507607 

forest 489 : -0.4506315 
forest mean 489 : -0.4069192 
forest RMSE 489 : 0.0563598 

nnet 489 : -0.4238937 
nnet mean 489 : -0.4098293 
nnet RMSE 489 : 0.1458340 


s: 490 
logit 490 : -0.5583014 
logit mean 490 : -0.4514728 
logit RMSE 490 : 0.07031343 

boosting 490 : -0.5852279 
boosting mean 490 : -0.4388188 
boosting RMSE 490 : 0.150839 

forest 490 : -0.3827818 
forest mean 490 : -0.4068699 
forest RMSE 490 : 0.05630763 

nnet 490 : -0.7027735 
nnet mean 490 : -0.4104272 
nnet RMSE 490 : 0.1463258 


s: 491 
logit 491 : -0.5292659 
logit mean 491 : -0.4516312 
logit RMSE 491 : 0.07048362 

boosting 491 : -0.4694057 
boosting mean 491 : -0.4388811 
boosting RMSE 491 : 0.1507179 

forest 491 : -0.4515446 
forest mean 491 : -0.4069609 
forest RMSE 491 : 0.05629834 

nnet 491 : -0.6443922 
nnet mean 491 : -0.4109037 
nnet RMSE 491 : 0.1465922 


s: 492 
logit 492 : -0.3578222 
logit mean 492 : -0.4514405 
logit RMSE 492 : 0.07043763 

boosting 492 : -0.02884684 
boosting mean 492 : -0.4380477 
boosting RMSE 492 : 0.1514916 

forest 492 : -0.3021361 
forest mean 492 : -0.4067479 
forest RMSE 492 : 0.05641389 

nnet 492 : -0.2917410 
nnet mean 492 : -0.4106615 
nnet RMSE 492 : 0.1465244 


s: 493 
logit 493 : -0.3476176 
logit mean 493 : -0.45123 
logit RMSE 493 : 0.07040569 

boosting 493 : -0.2573153 
boosting mean 493 : -0.4376811 
boosting RMSE 493 : 0.1514742 

forest 493 : -0.4454421 
forest mean 493 : -0.4068264 
forest RMSE 493 : 0.0563938 

nnet 493 : -0.1671291 
nnet mean 493 : -0.4101675 
nnet RMSE 493 : 0.146751 


s: 494 
logit 494 : -0.4517166 
logit mean 494 : -0.4512309 
logit RMSE 494 : 0.07037287 

boosting 494 : -0.4481689 
boosting mean 494 : -0.4377023 
boosting RMSE 494 : 0.1513364 

forest 494 : -0.4196141 
forest mean 494 : -0.4068522 
forest RMSE 494 : 0.0563436 

nnet 494 : -0.3809349 
nnet mean 494 : -0.4101083 
nnet RMSE 494 : 0.1466049 


s: 495 
logit 495 : -0.4569134 
logit mean 495 : -0.4512424 
logit RMSE 495 : 0.07034828 

boosting 495 : -0.5429313 
boosting mean 495 : -0.4379149 
boosting RMSE 495 : 0.1513199 

forest 495 : -0.3886814 
forest mean 495 : -0.4068155 
forest RMSE 495 : 0.05628896 

nnet 495 : -0.3991779 
nnet mean 495 : -0.4100862 
nnet RMSE 495 : 0.1464567 


s: 496 
logit 496 : -0.5567339 
logit mean 496 : -0.4514551 
logit RMSE 496 : 0.07062882 

boosting 496 : -0.4567123 
boosting mean 496 : -0.4379528 
boosting RMSE 496 : 0.1511887 

forest 496 : -0.480448 
forest mean 496 : -0.406964 
forest RMSE 496 : 0.05634809 

nnet 496 : -0.3269926 
nnet mean 496 : -0.4099187 
nnet RMSE 496 : 0.1463458 


s: 497 
logit 497 : -0.4109767 
logit mean 497 : -0.4513737 
logit RMSE 497 : 0.07055944 

boosting 497 : -0.3787232 
boosting mean 497 : -0.4378336 
boosting RMSE 497 : 0.1510395 

forest 497 : -0.4828818 
forest mean 497 : -0.4071167 
forest RMSE 497 : 0.05641401 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Warning in MatchLoopCfast(N = s1$N, xvars = Kx, All = s1$All, M = s1$M,  :
  Increasing memory because of ties.  I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.
Warning in MatchLoopCfast(N = s1$N, xvars = Kx, All = s1$All, M = s1$M,  :
  Increasing memory because of ties.  I would be faster with the ties=FALSE option.

nnet 497 : -0.2391717 
nnet mean 497 : -0.4095751 
nnet RMSE 497 : 0.1463763 


s: 498 
logit 498 : -0.4409528 
logit mean 498 : -0.4513527 
logit RMSE 498 : 0.07051245 

boosting 498 : -0.2851482 
boosting mean 498 : -0.437527 
boosting RMSE 498 : 0.1509755 

forest 498 : -0.4132148 
forest mean 498 : -0.407129 
forest RMSE 498 : 0.05636045 

nnet 498 : -0.2384665 
nnet mean 498 : -0.4092316 
nnet RMSE 498 : 0.1464083 


s: 499 
logit 499 : -0.4741007 
logit mean 499 : -0.4513983 
logit RMSE 499 : 0.07051982 

boosting 499 : -0.5300873 
boosting mean 499 : -0.4377125 
boosting RMSE 499 : 0.1509366 

forest 499 : -0.3957259 
forest mean 499 : -0.4071061 
forest RMSE 499 : 0.05630427 

nnet 499 : -0.7415175 
nnet mean 499 : -0.4098975 
nnet RMSE 499 : 0.1470584 


s: 500 
logit 500 : -0.3528416 
logit mean 500 : -0.4512012 
logit RMSE 500 : 0.07048083 

boosting 500 : -0.4970183 
boosting mean 500 : -0.4378311 
boosting RMSE 500 : 0.1508480 

forest 500 : -0.4462968 
forest mean 500 : -0.4071845 
forest RMSE 500 : 0.05628603 

nnet 500 : -0.1519165 
nnet mean 500 : -0.4093815 
nnet RMSE 500 : 0.1473296 


s: 501 
logit 501 : -0.5322067 
logit mean 501 : -0.4513629 
logit RMSE 501 : 0.07065776 

boosting 501 : -0.4348771 
boosting mean 501 : -0.4378252 
boosting RMSE 501 : 0.1507054 

forest 501 : -0.3224781 
forest mean 501 : -0.4070154 
forest RMSE 501 : 0.0563364 

nnet 501 : -0.5286346 
nnet mean 501 : -0.4096195 
nnet RMSE 501 : 0.1472947 


s: 502 
logit 502 : -0.4709825 
logit mean 502 : -0.451402 
logit RMSE 502 : 0.07065841 

boosting 502 : -0.3320017 
boosting mean 502 : -0.4376144 
boosting RMSE 502 : 0.1505858 

forest 502 : -0.5124837 
forest mean 502 : -0.4072255 
forest RMSE 502 : 0.05650373 

nnet 502 : -0.5187349 
nnet mean 502 : -0.4098369 
nnet RMSE 502 : 0.1472433 


s: 503 
logit 503 : -0.4148307 
logit mean 503 : -0.4513293 
logit RMSE 503 : 0.07059124 

boosting 503 : -0.4158151 
boosting mean 503 : -0.4375711 
boosting RMSE 503 : 0.1504377 

forest 503 : -0.3977648 
forest mean 503 : -0.4072067 
forest RMSE 503 : 0.05644762 

nnet 503 : -0.6521424 
nnet mean 503 : -0.4103186 
nnet RMSE 503 : 0.1475259 


s: 504 
logit 504 : -0.449739 
logit mean 504 : -0.4513261 
logit RMSE 504 : 0.07055597 

boosting 504 : -0.2104264 
boosting mean 504 : -0.4371204 
boosting RMSE 504 : 0.1505254 

forest 504 : -0.3690893 
forest mean 504 : -0.4071311 
forest RMSE 504 : 0.0564084 

nnet 504 : -0.376169 
nnet mean 504 : -0.4102508 
nnet RMSE 504 : 0.1473833 


s: 505 
logit 505 : -0.5286589 
logit mean 505 : -0.4514793 
logit RMSE 505 : 0.07071821 

boosting 505 : -0.4165004 
boosting mean 505 : -0.4370796 
boosting RMSE 505 : 0.1503781 

forest 505 : -0.3835037 
forest mean 505 : -0.4070843 
forest RMSE 505 : 0.0563573 

nnet 505 : -0.4446444 
nnet mean 505 : -0.4103190 
nnet RMSE 505 : 0.1472507 


s: 506 
logit 506 : -0.4607394 
logit mean 506 : -0.4514976 
logit RMSE 506 : 0.07069988 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 506 : -0.2916046 
boosting mean 506 : -0.4367921 
boosting RMSE 506 : 0.1503067 

forest 506 : -0.3518851 
forest mean 506 : -0.4069752 
forest RMSE 506 : 0.0563422 

nnet 506 : -0.1656116 
nnet mean 506 : -0.4098353 
nnet RMSE 506 : 0.1474737 


s: 507 
logit 507 : -0.4425432 
logit mean 507 : -0.4514799 
logit RMSE 507 : 0.07065538 

boosting 507 : -0.3595128 
boosting mean 507 : -0.4366397 
boosting RMSE 507 : 0.1501692 

forest 507 : -0.3942514 
forest mean 507 : -0.4069501 
forest RMSE 507 : 0.05628719 

nnet 507 : -0.3772541 
nnet mean 507 : -0.4097711 
nnet RMSE 507 : 0.1473316 


s: 508 
logit 508 : -0.5056739 
logit mean 508 : -0.4515866 
logit RMSE 508 : 0.07074135 

boosting 508 : -0.4351501 
boosting mean 508 : -0.4366367 
boosting RMSE 508 : 0.1500294 

forest 508 : -0.4117599 
forest mean 508 : -0.4069596 
forest RMSE 508 : 0.05623418 

nnet 508 : -0.3001847 
nnet mean 508 : -0.4095554 
nnet RMSE 508 : 0.1472531 


s: 509 
logit 509 : -0.4406034 
logit mean 509 : -0.451565 
logit RMSE 509 : 0.07069474 

boosting 509 : -0.5265622 
boosting mean 509 : -0.4368134 
boosting RMSE 509 : 0.1499869 

forest 509 : -0.4582362 
forest mean 509 : -0.4070603 
forest RMSE 509 : 0.05623819 

nnet 509 : -0.4711798 
nnet mean 509 : -0.4096764 
nnet RMSE 509 : 0.1471422 


s: 510 
logit 510 : -0.4999867 
logit mean 510 : -0.4516599 
logit RMSE 510 : 0.07076404 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 510 : -0.2859987 
boosting mean 510 : -0.4365177 
boosting RMSE 510 : 0.1499248 

forest 510 : -0.4709404 
forest mean 510 : -0.4071856 
forest RMSE 510 : 0.05627077 

nnet 510 : -0.4607493 
nnet mean 510 : -0.4097766 
nnet RMSE 510 : 0.1470225 


s: 511 
logit 511 : -0.465961 
logit mean 511 : -0.4516879 
logit RMSE 511 : 0.07075496 

boosting 511 : -0.3420439 
boosting mean 511 : -0.4363328 
boosting RMSE 511 : 0.1498000 

forest 511 : -0.455546 
forest mean 511 : -0.4072802 
forest RMSE 511 : 0.05626937 

nnet 511 : -0.4085922 
nnet mean 511 : -0.4097743 
nnet RMSE 511 : 0.1468791 


s: 512 
logit 512 : -0.4164480 
logit mean 512 : -0.4516191 
logit RMSE 512 : 0.07068956 

boosting 512 : -0.3949161 
boosting mean 512 : -0.4362519 
boosting RMSE 512 : 0.1496538 

forest 512 : -0.441939 
forest mean 512 : -0.4073479 
forest RMSE 512 : 0.05624494 

nnet 512 : -0.647058 
nnet mean 512 : -0.4102377 
nnet RMSE 512 : 0.1471412 


s: 513 
logit 513 : -0.5329969 
logit mean 513 : -0.4517777 
logit RMSE 513 : 0.07086433 

boosting 513 : -0.2861924 
boosting mean 513 : -0.4359594 
boosting RMSE 513 : 0.1495922 

forest 513 : -0.4654906 
forest mean 513 : -0.4074613 
forest RMSE 513 : 0.05626444 

nnet 513 : -0.3936984 
nnet mean 513 : -0.4102055 
nnet RMSE 513 : 0.1469980 


s: 514 
logit 514 : -0.489123 
logit mean 514 : -0.4518504 
logit RMSE 514 : 0.07090442 

boosting 514 : -0.6336038 
boosting mean 514 : -0.4363439 
boosting RMSE 514 : 0.1498014 

forest 514 : -0.494942 
forest mean 514 : -0.4076314 
forest RMSE 514 : 0.05636546 

nnet 514 : -0.5819956 
nnet mean 514 : -0.4105397 
nnet RMSE 514 : 0.1470742 


s: 515 
logit 515 : -0.4178631 
logit mean 515 : -0.4517844 
logit RMSE 515 : 0.07083992 

boosting 515 : -0.6440855 
boosting mean 515 : -0.4367473 
boosting RMSE 515 : 0.1500419 

forest 515 : -0.3468720 
forest mean 515 : -0.4075135 
forest RMSE 515 : 0.05635935 

nnet 515 : -0.4175779 
nnet mean 515 : -0.4105533 
nnet RMSE 515 : 0.1469334 


s: 516 
logit 516 : -0.4435675 
logit mean 516 : -0.4517685 
logit RMSE 516 : 0.07079723 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 516 : -0.5955371 
boosting mean 516 : -0.437055 
boosting RMSE 516 : 0.1501434 

forest 516 : -0.4186822 
forest mean 516 : -0.4075351 
forest RMSE 516 : 0.05631072 

nnet 516 : -0.3267145 
nnet mean 516 : -0.4103909 
nnet RMSE 516 : 0.1468264 


s: 517 
logit 517 : -0.4360025 
logit mean 517 : -0.451738 
logit RMSE 517 : 0.07074645 

boosting 517 : -0.5587962 
boosting mean 517 : -0.4372905 
boosting RMSE 517 : 0.1501607 

forest 517 : -0.403828 
forest mean 517 : -0.4075279 
forest RMSE 517 : 0.05625649 

nnet 517 : -0.556584 
nnet mean 517 : -0.4106736 
nnet RMSE 517 : 0.1468459 


s: 518 
logit 518 : -0.4689111 
logit mean 518 : -0.4517711 
logit RMSE 518 : 0.07074295 

boosting 518 : -0.4657084 
boosting mean 518 : -0.4373454 
boosting RMSE 518 : 0.1500434 

forest 518 : -0.440373 
forest mean 518 : -0.4075913 
forest RMSE 518 : 0.05623015 

nnet 518 : -0.4653635 
nnet mean 518 : -0.4107792 
nnet RMSE 518 : 0.1467322 


s: 519 
logit 519 : -0.4160903 
logit mean 519 : -0.4517024 
logit RMSE 519 : 0.07067829 

boosting 519 : -0.4298654 
boosting mean 519 : -0.4373310 
boosting RMSE 519 : 0.1499045 

forest 519 : -0.380188 
forest mean 519 : -0.4075385 
forest RMSE 519 : 0.05618268 

nnet 519 : -0.3005201 
nnet mean 519 : -0.4105668 
nnet RMSE 519 : 0.1466558 


s: 520 
logit 520 : -0.3689503 
logit mean 520 : -0.4515432 
logit RMSE 520 : 0.07062343 

boosting 520 : -0.5357185 
boosting mean 520 : -0.4375202 
boosting RMSE 520 : 0.1498785 

forest 520 : -0.3709656 
forest mean 520 : -0.4074682 
forest RMSE 520 : 0.05614307 

nnet 520 : -0.4617195 
nnet mean 520 : -0.4106651 
nnet RMSE 520 : 0.1465397 


s: 521 
logit 521 : -0.4425209 
logit mean 521 : -0.4515259 
logit RMSE 521 : 0.0705802 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 521 : -0.4801307 
boosting mean 521 : -0.4376019 
boosting RMSE 521 : 0.1497758 

forest 521 : -0.5854993 
forest mean 521 : -0.4078099 
forest RMSE 521 : 0.05667487 

nnet 521 : -0.4077519 
nnet mean 521 : -0.4106596 
nnet RMSE 521 : 0.1463994 


s: 522 
logit 522 : -0.4753485 
logit mean 522 : -0.4515716 
logit RMSE 522 : 0.07058965 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 522 : -0.5471001 
boosting mean 522 : -0.4378117 
boosting RMSE 522 : 0.1497707 

forest 522 : -0.5329918 
forest mean 522 : -0.4080497 
forest RMSE 522 : 0.05691898 

nnet 522 : -0.3987619 
nnet mean 522 : -0.4106368 
nnet RMSE 522 : 0.1462591 


s: 523 
logit 523 : -0.4249053 
logit mean 523 : -0.4515206 
logit RMSE 523 : 0.07053054 

boosting 523 : -0.5203498 
boosting mean 523 : -0.4379695 
boosting RMSE 523 : 0.1497200 

forest 523 : -0.3872190 
forest mean 523 : -0.4080099 
forest RMSE 523 : 0.05686728 

nnet 523 : -0.1243871 
nnet mean 523 : -0.4100894 
nnet RMSE 523 : 0.1466154 


s: 524 
logit 524 : -0.4723018 
logit mean 524 : -0.4515602 
logit RMSE 524 : 0.07053396 

boosting 524 : -0.4552743 
boosting mean 524 : -0.4380026 
boosting RMSE 524 : 0.1495965 

forest 524 : -0.376478 
forest mean 524 : -0.4079497 
forest RMSE 524 : 0.05682228 

nnet 524 : -0.2647814 
nnet mean 524 : -0.4098121 
nnet RMSE 524 : 0.1465945 


s: 525 
logit 525 : -0.4008472 
logit mean 525 : -0.4514636 
logit RMSE 525 : 0.07046676 

boosting 525 : -0.4835608 
boosting mean 525 : -0.4380893 
boosting RMSE 525 : 0.1494985 

forest 525 : -0.3895153 
forest mean 525 : -0.4079146 
forest RMSE 525 : 0.05676999 

nnet 525 : -0.4876215 
nnet mean 525 : -0.4099603 
nnet RMSE 525 : 0.1465047 


s: 526 
logit 526 : -0.4261496 
logit mean 526 : -0.4514155 
logit RMSE 526 : 0.07040898 

boosting 526 : -0.5477166 
boosting mean 526 : -0.4382978 
boosting RMSE 526 : 0.1494951 

forest 526 : -0.4701085 
forest mean 526 : -0.4080329 
forest RMSE 526 : 0.05679832 

nnet 526 : -0.3085363 
nnet mean 526 : -0.4097675 
nnet RMSE 526 : 0.1464197 


s: 527 
logit 527 : -0.3785427 
logit mean 527 : -0.4512772 
logit RMSE 527 : 0.07034836 

boosting 527 : -0.409733 
boosting mean 527 : -0.4382435 
boosting RMSE 527 : 0.1493538 

forest 527 : -0.3135305 
forest mean 527 : -0.4078535 
forest RMSE 527 : 0.05686928 

nnet 527 : -0.3640046 
nnet mean 527 : -0.4096807 
nnet RMSE 527 : 0.1462891 


s: 528 
logit 528 : -0.5051544 
logit mean 528 : -0.4513793 
logit RMSE 528 : 0.07043054 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 528 : -0.3669456 
boosting mean 528 : -0.4381085 
boosting RMSE 528 : 0.1492192 

forest 528 : -0.4493437 
forest mean 528 : -0.4079321 
forest RMSE 528 : 0.05685597 

nnet 528 : -0.5158764 
nnet mean 528 : -0.4098818 
nnet RMSE 528 : 0.1462375 


s: 529 
logit 529 : -0.5114453 
logit mean 529 : -0.4514928 
logit RMSE 529 : 0.07053057 

boosting 529 : -0.3875756 
boosting mean 529 : -0.438013 
boosting RMSE 529 : 0.1490791 

forest 529 : -0.3944045 
forest mean 529 : -0.4079065 
forest RMSE 529 : 0.05680273 

nnet 529 : -0.2168021 
nnet mean 529 : -0.4095168 
nnet RMSE 529 : 0.1463162 


s: 530 
logit 530 : -0.4801232 
logit mean 530 : -0.4515468 
logit RMSE 530 : 0.0705499 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 530 : -0.4175937 
boosting mean 530 : -0.4379745 
boosting RMSE 530 : 0.1489404 

forest 530 : -0.3529704 
forest mean 530 : -0.4078029 
forest RMSE 530 : 0.05678587 

nnet 530 : -0.4357594 
nnet mean 530 : -0.4095663 
nnet RMSE 530 : 0.1461863 


s: 531 
logit 531 : -0.5291272 
logit mean 531 : -0.4516929 
logit RMSE 531 : 0.07070584 

boosting 531 : -0.8030036 
boosting mean 531 : -0.4386619 
boosting RMSE 531 : 0.1498243 

forest 531 : -0.3748922 
forest mean 531 : -0.4077409 
forest RMSE 531 : 0.05674284 

nnet 531 : -0.3388149 
nnet mean 531 : -0.4094331 
nnet RMSE 531 : 0.1460727 


s: 532 
logit 532 : -0.4235036 
logit mean 532 : -0.4516399 
logit RMSE 532 : 0.0706467 

boosting 532 : -0.4129876 
boosting mean 532 : -0.4386136 
boosting RMSE 532 : 0.1496845 

forest 532 : -0.4007748 
forest mean 532 : -0.4077278 
forest RMSE 532 : 0.05668949 

nnet 532 : -0.2976185 
nnet mean 532 : -0.4092229 
nnet RMSE 532 : 0.1460029 


s: 533 
logit 533 : -0.4759367 
logit mean 533 : -0.4516855 
logit RMSE 533 : 0.070657 

boosting 533 : -0.6982095 
boosting mean 533 : -0.4391007 
boosting RMSE 533 : 0.1501008 

forest 533 : -0.4058264 
forest mean 533 : -0.4077243 
forest RMSE 533 : 0.05663685 

nnet 533 : -0.6307226 
nnet mean 533 : -0.4096385 
nnet RMSE 533 : 0.1462078 


s: 534 
logit 534 : -0.3551984 
logit mean 534 : -0.4515048 
logit RMSE 534 : 0.07061743 

boosting 534 : -0.4038485 
boosting mean 534 : -0.4390347 
boosting RMSE 534 : 0.1499603 

forest 534 : -0.2838641 
forest mean 534 : -0.4074923 
forest RMSE 534 : 0.05680654 

nnet 534 : -0.4277343 
nnet mean 534 : -0.4096724 
nnet RMSE 534 : 0.1460758 


s: 535 
logit 535 : -0.4728565 
logit mean 535 : -0.4515448 
logit RMSE 535 : 0.07062168 

boosting 535 : -0.393616 
boosting mean 535 : -0.4389498 
boosting RMSE 535 : 0.1498203 

forest 535 : -0.449271 
forest mean 535 : -0.4075704 
forest RMSE 535 : 0.05679339 

nnet 535 : -0.371619 
nnet mean 535 : -0.4096012 
nnet RMSE 535 : 0.1459443 


s: 536 
logit 536 : -0.537578 
logit mean 536 : -0.4517053 
logit RMSE 536 : 0.07080558 

boosting 536 : -0.6330567 
boosting mean 536 : -0.4393119 
boosting RMSE 536 : 0.1500186 

forest 536 : -0.4054168 
forest mean 536 : -0.4075664 
forest RMSE 536 : 0.05674087 

nnet 536 : -0.3576546 
nnet mean 536 : -0.4095043 
nnet RMSE 536 : 0.1458196 


s: 537 
logit 537 : -0.3972351 
logit mean 537 : -0.4516038 
logit RMSE 537 : 0.07073972 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 537 : -0.3644517 
boosting mean 537 : -0.4391725 
boosting RMSE 537 : 0.1498867 

forest 537 : -0.4621236 
forest mean 537 : -0.407668 
forest RMSE 537 : 0.05675137 

nnet 537 : -0.3669274 
nnet mean 537 : -0.4094250 
nnet RMSE 537 : 0.1456908 


s: 538 
logit 538 : -0.4493087 
logit mean 538 : -0.4515996 
logit RMSE 538 : 0.07070591 

boosting 538 : -0.2579613 
boosting mean 538 : -0.4388357 
boosting RMSE 538 : 0.1498725 

forest 538 : -0.3777202 
forest mean 538 : -0.4076123 
forest RMSE 538 : 0.05670673 

nnet 538 : -0.4548071 
nnet mean 538 : -0.4095094 
nnet RMSE 538 : 0.1455745 


s: 539 
logit 539 : -0.5264637 
logit mean 539 : -0.4517385 
logit RMSE 539 : 0.07085 

boosting 539 : -0.487129 
boosting mean 539 : -0.4389253 
boosting RMSE 539 : 0.1497804 

forest 539 : -0.4246219 
forest mean 539 : -0.4076439 
forest RMSE 539 : 0.05666403 

nnet 539 : -0.4935226 
nnet mean 539 : -0.4096653 
nnet RMSE 539 : 0.1454951 


s: 540 
logit 540 : -0.4469587 
logit mean 540 : -0.4517296 
logit RMSE 540 : 0.07081321 

boosting 540 : -0.3110961 
boosting mean 540 : -0.4386886 
boosting RMSE 540 : 0.1496906 

forest 540 : -0.4248662 
forest mean 540 : -0.4076758 
forest RMSE 540 : 0.05662165 

nnet 540 : -0.5049046 
nnet mean 540 : -0.4098416 
nnet RMSE 540 : 0.1454304 


s: 541 
logit 541 : -0.4495878 
logit mean 541 : -0.4517256 
logit RMSE 541 : 0.07077985 

boosting 541 : -0.5321274 
boosting mean 541 : -0.4388613 
boosting RMSE 541 : 0.1496600 

forest 541 : -0.3153902 
forest mean 541 : -0.4075052 
forest RMSE 541 : 0.05668614 

nnet 541 : -0.3754857 
nnet mean 541 : -0.4097781 
nnet RMSE 541 : 0.1452998 


s: 542 
logit 542 : -0.57649 
logit mean 542 : -0.4519558 
logit RMSE 542 : 0.07111971 

boosting 542 : -0.4636178 
boosting mean 542 : -0.4389070 
boosting RMSE 542 : 0.1495469 

forest 542 : -0.3329369 
forest mean 542 : -0.4073676 
forest RMSE 542 : 0.05670703 

nnet 542 : -0.4307079 
nnet mean 542 : -0.4098167 
nnet RMSE 542 : 0.1451717 


s: 543 
logit 543 : -0.4693301 
logit mean 543 : -0.4519878 
logit RMSE 543 : 0.07111646 

boosting 543 : -0.2987798 
boosting mean 543 : -0.4386489 
boosting RMSE 543 : 0.1494722 

forest 543 : -0.3644713 
forest mean 543 : -0.4072886 
forest RMSE 543 : 0.0566753 

nnet 543 : -0.3186455 
nnet mean 543 : -0.4096488 
nnet RMSE 543 : 0.1450800 


s: 544 
logit 544 : -0.4396929 
logit mean 544 : -0.4519652 
logit RMSE 544 : 0.07107144 

boosting 544 : -0.5825375 
boosting mean 544 : -0.4389134 
boosting RMSE 544 : 0.1495397 

forest 544 : -0.336994 
forest mean 544 : -0.4071594 
forest RMSE 544 : 0.05668759 

nnet 544 : -0.5789326 
nnet mean 544 : -0.40996 
nnet RMSE 544 : 0.1451494 


s: 545 
logit 545 : -0.4228733 
logit mean 545 : -0.4519119 
logit RMSE 545 : 0.07101297 

boosting 545 : -0.3799111 
boosting mean 545 : -0.4388051 
boosting RMSE 545 : 0.1494049 

forest 545 : -0.3007803 
forest mean 545 : -0.4069642 
forest RMSE 545 : 0.0567948 

nnet 545 : -0.4835155 
nnet mean 545 : -0.410095 
nnet RMSE 545 : 0.1450603 


s: 546 
logit 546 : -0.3754355 
logit mean 546 : -0.4517718 
logit RMSE 546 : 0.0709557 

boosting 546 : -0.3401936 
boosting mean 546 : -0.4386245 
boosting RMSE 546 : 0.14929 

forest 546 : -0.4171976 
forest mean 546 : -0.4069829 
forest RMSE 546 : 0.05674754 

nnet 546 : -0.3604362 
nnet mean 546 : -0.4100040 
nnet RMSE 546 : 0.1449373 


s: 547 
logit 547 : -0.4156962 
logit mean 547 : -0.4517058 
logit RMSE 547 : 0.07089399 

boosting 547 : -0.494521 
boosting mean 547 : -0.4387267 
boosting RMSE 547 : 0.1492082 

forest 547 : -0.4555937 
forest mean 547 : -0.4070718 
forest RMSE 547 : 0.05674546 

nnet 547 : -0.2249083 
nnet mean 547 : -0.4096657 
nnet RMSE 547 : 0.1449982 


s: 548 
logit 548 : -0.4589911 
logit mean 548 : -0.4517191 
logit RMSE 548 : 0.07087409 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 548 : -0.5120422 
boosting mean 548 : -0.4388605 
boosting RMSE 548 : 0.1491488 

forest 548 : -0.5065183 
forest mean 548 : -0.4072533 
forest RMSE 548 : 0.05687597 

nnet 548 : -0.3717775 
nnet mean 548 : -0.4095965 
nnet RMSE 548 : 0.1448708 


s: 549 
logit 549 : -0.4689347 
logit mean 549 : -0.4517505 
logit RMSE 549 : 0.0708706 

boosting 549 : -0.4236757 
boosting mean 549 : -0.4388328 
boosting RMSE 549 : 0.1490164 

forest 549 : -0.40222 
forest mean 549 : -0.4072441 
forest RMSE 549 : 0.05682422 

nnet 549 : -0.2735136 
nnet mean 549 : -0.4093486 
nnet RMSE 549 : 0.1448395 


s: 550 
logit 550 : -0.4193098 
logit mean 550 : -0.4516915 
logit RMSE 550 : 0.07081093 

boosting 550 : -0.4389683 
boosting mean 550 : -0.4388331 
boosting RMSE 550 : 0.1488901 

forest 550 : -0.433704 
forest mean 550 : -0.4072922 
forest RMSE 550 : 0.05679073 

nnet 550 : -0.4090548 
nnet mean 550 : -0.4093481 
nnet RMSE 550 : 0.1447082 


s: 551 
logit 551 : -0.4818883 
logit mean 551 : -0.4517463 
logit RMSE 551 : 0.0708326 

boosting 551 : -0.4439824 
boosting mean 551 : -0.4388424 
boosting RMSE 551 : 0.1487667 

forest 551 : -0.3178190 
forest mean 551 : -0.4071298 
forest RMSE 551 : 0.05684708 

nnet 551 : -0.2961217 
nnet mean 551 : -0.4091426 
nnet RMSE 551 : 0.1446446 


s: 552 
logit 552 : -0.4512848 
logit mean 552 : -0.4517455 
logit RMSE 552 : 0.07080207 

boosting 552 : -0.4981268 
boosting mean 552 : -0.4389498 
boosting RMSE 552 : 0.1486906 

forest 552 : -0.3605677 
forest mean 552 : -0.4070455 
forest RMSE 552 : 0.05682036 

nnet 552 : -0.5030926 
nnet mean 552 : -0.4093128 
nnet RMSE 552 : 0.1445801 


s: 553 
logit 553 : -0.475418 
logit mean 553 : -0.4517883 
logit RMSE 553 : 0.07081069 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 553 : -0.5064828 
boosting mean 553 : -0.4390720 
boosting RMSE 553 : 0.1486251 

forest 553 : -0.4436558 
forest mean 553 : -0.4071117 
forest RMSE 553 : 0.0567993 

nnet 553 : -0.3457568 
nnet mean 553 : -0.4091979 
nnet RMSE 553 : 0.1444677 


s: 554 
logit 554 : -0.4237038 
logit mean 554 : -0.4517376 
logit RMSE 554 : 0.07075392 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 554 : -0.2371447 
boosting mean 554 : -0.4387075 
boosting RMSE 554 : 0.148652 

forest 554 : -0.4128927 
forest mean 554 : -0.4071221 
forest RMSE 554 : 0.05675066 

nnet 554 : -0.2689159 
nnet mean 554 : -0.4089447 
nnet RMSE 554 : 0.1444447 


s: 555 
logit 555 : -0.4888206 
logit mean 555 : -0.4518044 
logit RMSE 555 : 0.07079062 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 555 : -0.6136823 
boosting mean 555 : -0.4390227 
boosting RMSE 555 : 0.1487947 

forest 555 : -0.3775246 
forest mean 555 : -0.4070688 
forest RMSE 555 : 0.05670754 

nnet 555 : -0.5502558 
nnet mean 555 : -0.4091993 
nnet RMSE 555 : 0.1444554 


s: 556 
logit 556 : -0.4704275 
logit mean 556 : -0.4518379 
logit RMSE 556 : 0.07078997 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 556 : -0.1662523 
boosting mean 556 : -0.4385321 
boosting RMSE 556 : 0.148991 

forest 556 : -0.2707972 
forest mean 556 : -0.4068237 
forest RMSE 556 : 0.05692087 

nnet 556 : -0.5287162 
nnet mean 556 : -0.4094142 
nnet RMSE 556 : 0.1444286 


s: 557 
logit 557 : -0.4636109 
logit mean 557 : -0.451859 
logit RMSE 557 : 0.07077773 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 557 : -0.4725495 
boosting mean 557 : -0.4385932 
boosting RMSE 557 : 0.1488889 

forest 557 : -0.4211358 
forest mean 557 : -0.4068494 
forest RMSE 557 : 0.0568768 

nnet 557 : -0.5853297 
nnet mean 557 : -0.4097301 
nnet RMSE 557 : 0.1445124 


s: 558 
logit 558 : -0.594251 
logit mean 558 : -0.4521142 
logit RMSE 558 : 0.07119082 

boosting 558 : -0.4097502 
boosting mean 558 : -0.4385415 
boosting RMSE 558 : 0.1487560 

forest 558 : -0.3848691 
forest mean 558 : -0.40681 
forest RMSE 558 : 0.05682942 

nnet 558 : -0.05812001 
nnet mean 558 : -0.4090999 
nnet RMSE 558 : 0.1451064 


s: 559 
logit 559 : -0.4878706 
logit mean 559 : -0.4521782 
logit RMSE 559 : 0.07122414 

boosting 559 : -0.4949029 
boosting mean 559 : -0.4386423 
boosting RMSE 559 : 0.1486771 

forest 559 : -0.4615822 
forest mean 559 : -0.406908 
forest RMSE 559 : 0.05683828 

nnet 559 : -0.3292543 
nnet mean 559 : -0.4089571 
nnet RMSE 559 : 0.1450075 


s: 560 
logit 560 : -0.4626411 
logit mean 560 : -0.4521969 
logit RMSE 560 : 0.07120974 

boosting 560 : -0.6788234 
boosting mean 560 : -0.4390712 
boosting RMSE 560 : 0.1490109 

forest 560 : -0.4887829 
forest mean 560 : -0.4070542 
forest RMSE 560 : 0.05691131 

nnet 560 : -0.3361371 
nnet mean 560 : -0.4088271 
nnet RMSE 560 : 0.1449031 


s: 561 
logit 561 : -0.4907515 
logit mean 561 : -0.4522656 
logit RMSE 561 : 0.07124934 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 561 : -0.4205542 
boosting mean 561 : -0.4390382 
boosting RMSE 561 : 0.1488805 

forest 561 : -0.4182003 
forest mean 561 : -0.4070741 
forest RMSE 561 : 0.05686575 

nnet 561 : -0.5868415 
nnet mean 561 : -0.4091444 
nnet RMSE 561 : 0.1449886 


s: 562 
logit 562 : -0.4873073 
logit mean 562 : -0.4523279 
logit RMSE 562 : 0.07128113 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 562 : -0.448248 
boosting mean 562 : -0.4390546 
boosting RMSE 562 : 0.1487619 

forest 562 : -0.4518957 
forest mean 562 : -0.4071538 
forest RMSE 562 : 0.0568573 

nnet 562 : -0.5548634 
nnet mean 562 : -0.4094037 
nnet RMSE 562 : 0.1450068 


s: 563 
logit 563 : -0.4386961 
logit mean 563 : -0.4523037 
logit RMSE 563 : 0.07123646 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 563 : -0.3689977 
boosting mean 563 : -0.4389302 
boosting RMSE 563 : 0.1486355 

forest 563 : -0.3510333 
forest mean 563 : -0.4070541 
forest RMSE 563 : 0.05684425 

nnet 563 : -0.5439241 
nnet mean 563 : -0.4096426 
nnet RMSE 563 : 0.1450049 


s: 564 
logit 564 : -0.4520644 
logit mean 564 : -0.4523033 
logit RMSE 564 : 0.07120704 

boosting 564 : -0.4222991 
boosting mean 564 : -0.4389007 
boosting RMSE 564 : 0.1485066 

forest 564 : -0.3790962 
forest mean 564 : -0.4070046 
forest RMSE 564 : 0.05680065 

nnet 564 : -0.533256 
nnet mean 564 : -0.4098618 
nnet RMSE 564 : 0.1449849 


s: 565 
logit 565 : -0.4423047 
logit mean 565 : -0.4522856 
logit RMSE 565 : 0.07116625 

boosting 565 : -0.4567595 
boosting mean 565 : -0.4389323 
boosting RMSE 565 : 0.1483944 

forest 565 : -0.4178998 
forest mean 565 : -0.4070238 
forest RMSE 565 : 0.05675536 

nnet 565 : -0.2633844 
nnet mean 565 : -0.4096025 
nnet RMSE 565 : 0.1449705 


s: 566 
logit 566 : -0.4643906 
logit mean 566 : -0.452307 
logit RMSE 566 : 0.07115485 

boosting 566 : -0.4064205 
boosting mean 566 : -0.4388749 
boosting RMSE 566 : 0.1482635 

forest 566 : -0.4492115 
forest mean 566 : -0.4070984 
forest RMSE 566 : 0.05674292 

nnet 566 : -0.2726527 
nnet mean 566 : -0.4093606 
nnet RMSE 566 : 0.1449412 


s: 567 
logit 567 : -0.4736404 
logit mean 567 : -0.4523446 
logit RMSE 567 : 0.07115931 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 567 : -0.4507429 
boosting mean 567 : -0.4388958 
boosting RMSE 567 : 0.148148 

forest 567 : -0.3881389 
forest mean 567 : -0.4070649 
forest RMSE 567 : 0.05669505 

nnet 567 : -0.4024152 
nnet mean 567 : -0.4093483 
nnet RMSE 567 : 0.1448134 


s: 568 
logit 568 : -0.4538046 
logit mean 568 : -0.4523472 
logit RMSE 568 : 0.07113248 

boosting 568 : -0.55754 
boosting mean 568 : -0.4391047 
boosting RMSE 568 : 0.1481651 

forest 568 : -0.3088885 
forest mean 568 : -0.4068921 
forest RMSE 568 : 0.05677398 

nnet 568 : -0.4988899 
nnet mean 568 : -0.409506 
nnet RMSE 568 : 0.1447454 


s: 569 
logit 569 : -0.4184799 
logit mean 569 : -0.4522877 
logit RMSE 569 : 0.07107417 

boosting 569 : -0.3952753 
boosting mean 569 : -0.4390277 
boosting RMSE 569 : 0.1480349 

forest 569 : -0.3815529 
forest mean 569 : -0.4068476 
forest RMSE 569 : 0.05672934 

nnet 569 : -0.4153978 
nnet mean 569 : -0.4095163 
nnet RMSE 569 : 0.1446196 


s: 570 
logit 570 : -0.4441182 
logit mean 570 : -0.4522733 
logit RMSE 570 : 0.07103583 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 570 : -0.6091827 
boosting mean 570 : -0.4393262 
boosting RMSE 570 : 0.1481643 

forest 570 : -0.4782278 
forest mean 570 : -0.4069728 
forest RMSE 570 : 0.05677418 

nnet 570 : -0.4282009 
nnet mean 570 : -0.4095491 
nnet RMSE 570 : 0.1444975 


s: 571 
logit 571 : -0.4639874 
logit mean 571 : -0.4522939 
logit RMSE 571 : 0.0710241 

boosting 571 : -0.3195331 
boosting mean 571 : -0.4391164 
boosting RMSE 571 : 0.1480728 

forest 571 : -0.4016515 
forest mean 571 : -0.4069635 
forest RMSE 571 : 0.05672449 

nnet 571 : -0.4074625 
nnet mean 571 : -0.4095454 
nnet RMSE 571 : 0.1443712 


s: 572 
logit 572 : -0.3994798 
logit mean 572 : -0.4522015 
logit RMSE 572 : 0.07096199 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 572 : -0.489169 
boosting mean 572 : -0.4392039 
boosting RMSE 572 : 0.1479903 

forest 572 : -0.3990073 
forest mean 572 : -0.4069496 
forest RMSE 572 : 0.0566749 

nnet 572 : -0.4021247 
nnet mean 572 : -0.4095325 
nnet RMSE 572 : 0.144245 


s: 573 
logit 573 : -0.4035105 
logit mean 573 : -0.4521165 
logit RMSE 573 : 0.0709002 

boosting 573 : -0.6135391 
boosting mean 573 : -0.4395081 
boosting RMSE 573 : 0.1481300 

forest 573 : -0.5044732 
forest mean 573 : -0.4071198 
forest RMSE 573 : 0.05679337 

nnet 573 : -0.3612038 
nnet mean 573 : -0.4094481 
nnet RMSE 573 : 0.1441282 


s: 574 
logit 574 : -0.5423196 
logit mean 574 : -0.4522737 
logit RMSE 574 : 0.07108704 

boosting 574 : -0.2531028 
boosting mean 574 : -0.4391834 
boosting RMSE 574 : 0.1481278 

forest 574 : -0.4177462 
forest mean 574 : -0.4071383 
forest RMSE 574 : 0.05674871 

nnet 574 : -0.355135 
nnet mean 574 : -0.4093535 
nnet RMSE 574 : 0.1440148 


s: 575 
logit 575 : -0.3897292 
logit mean 575 : -0.4521649 
logit RMSE 575 : 0.07102649 

boosting 575 : -0.5613828 
boosting mean 575 : -0.4393959 
boosting RMSE 575 : 0.1481519 

forest 575 : -0.4488605 
forest mean 575 : -0.4072108 
forest RMSE 575 : 0.05673594 

nnet 575 : -0.4756822 
nnet mean 575 : -0.4094689 
nnet RMSE 575 : 0.1439241 


s: 576 
logit 576 : -0.4176693 
logit mean 576 : -0.452105 
logit RMSE 576 : 0.07096863 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 576 : -0.2415031 
boosting mean 576 : -0.4390523 
boosting RMSE 576 : 0.1481705 

forest 576 : -0.4412935 
forest mean 576 : -0.40727 
forest RMSE 576 : 0.05671277 

nnet 576 : -0.3251889 
nnet mean 576 : -0.4093225 
nnet RMSE 576 : 0.1438329 


s: 577 
logit 577 : -0.5261918 
logit mean 577 : -0.4522334 
logit RMSE 577 : 0.07110145 

boosting 577 : -0.4789129 
boosting mean 577 : -0.4391214 
boosting RMSE 577 : 0.1480785 

forest 577 : -0.4308472 
forest mean 577 : -0.4073109 
forest RMSE 577 : 0.05667816 

nnet 577 : -0.4036277 
nnet mean 577 : -0.4093127 
nnet RMSE 577 : 0.1437083 


s: 578 
logit 578 : -0.4093693 
logit mean 578 : -0.4521593 
logit RMSE 578 : 0.07104098 

boosting 578 : -0.5070708 
boosting mean 578 : -0.439239 
boosting RMSE 578 : 0.1480173 

forest 578 : -0.3616648 
forest mean 578 : -0.4072319 
forest RMSE 578 : 0.05665155 

nnet 578 : -0.1830723 
nnet mean 578 : -0.4089213 
nnet RMSE 578 : 0.1438671 


s: 579 
logit 579 : -0.479762 
logit mean 579 : -0.4522069 
logit RMSE 579 : 0.07105697 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 579 : -0.5952949 
boosting mean 579 : -0.4395085 
boosting RMSE 579 : 0.148112 

forest 579 : -0.5075436 
forest mean 579 : -0.4074051 
forest RMSE 579 : 0.05677879 

nnet 579 : -0.5066594 
nnet mean 579 : -0.4090901 
nnet RMSE 579 : 0.1438112 


s: 580 
logit 580 : -0.4308691 
logit mean 580 : -0.4521702 
logit RMSE 580 : 0.07100726 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 580 : -0.3544488 
boosting mean 580 : -0.4393619 
boosting RMSE 580 : 0.1479964 

forest 580 : -0.4182331 
forest mean 580 : -0.4074238 
forest RMSE 580 : 0.05673487 

nnet 580 : -0.3629081 
nnet mean 580 : -0.4090104 
nnet RMSE 580 : 0.1436954 


s: 581 
logit 581 : -0.4241311 
logit mean 581 : -0.4521219 
logit RMSE 581 : 0.07095318 

boosting 581 : -0.3685103 
boosting mean 581 : -0.4392399 
boosting RMSE 581 : 0.1478747 

forest 581 : -0.4600796 
forest mean 581 : -0.4075144 
forest RMSE 581 : 0.0567408 

nnet 581 : -0.3345103 
nnet mean 581 : -0.4088822 
nnet RMSE 581 : 0.1435974 


s: 582 
logit 582 : -0.3737055 
logit mean 582 : -0.4519872 
logit RMSE 582 : 0.07090058 

boosting 582 : -0.4624364 
boosting mean 582 : -0.4392798 
boosting RMSE 582 : 0.1477703 

forest 582 : -0.4170869 
forest mean 582 : -0.4075309 
forest RMSE 582 : 0.05669645 

nnet 582 : -0.445927 
nnet mean 582 : -0.4089459 
nnet RMSE 582 : 0.1434866 


s: 583 
logit 583 : -0.5067834 
logit mean 583 : -0.4520811 
logit RMSE 583 : 0.07097766 

boosting 583 : -0.4943104 
boosting mean 583 : -0.4393742 
boosting RMSE 583 : 0.1476952 

forest 583 : -0.3996022 
forest mean 583 : -0.4075173 
forest RMSE 583 : 0.05664781 

nnet 583 : -0.405869 
nnet mean 583 : -0.4089406 
nnet RMSE 583 : 0.1433637 


s: 584 
logit 584 : -0.422602 
logit mean 584 : -0.4520307 
logit RMSE 584 : 0.07092303 

boosting 584 : -0.1363496 
boosting mean 584 : -0.4388553 
boosting RMSE 584 : 0.1479714 

forest 584 : -0.3133127 
forest mean 584 : -0.407356 
forest RMSE 584 : 0.05671285 

nnet 584 : -0.3245784 
nnet mean 584 : -0.4087961 
nnet RMSE 584 : 0.1432749 


s: 585 
logit 585 : -0.3392704 
logit mean 585 : -0.4518379 
logit RMSE 585 : 0.07090686 

boosting 585 : -0.5119513 
boosting mean 585 : -0.4389802 
boosting RMSE 585 : 0.1479173 

forest 585 : -0.372292 
forest mean 585 : -0.407296 
forest RMSE 585 : 0.05667593 

nnet 585 : -0.08148323 
nnet mean 585 : -0.4082366 
nnet RMSE 585 : 0.1437568 


s: 586 
logit 586 : -0.4868718 
logit mean 586 : -0.4518977 
logit RMSE 586 : 0.07093716 

boosting 586 : -0.3850997 
boosting mean 586 : -0.4388883 
boosting RMSE 586 : 0.1477923 

forest 586 : -0.3921453 
forest mean 586 : -0.4072702 
forest RMSE 586 : 0.05662848 

nnet 586 : -0.3715147 
nnet mean 586 : -0.4081739 
nnet RMSE 586 : 0.1436389 


s: 587 
logit 587 : -0.5376947 
logit mean 587 : -0.4520439 
logit RMSE 587 : 0.07110421 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 587 : -0.5644961 
boosting mean 587 : -0.4391023 
boosting RMSE 587 : 0.1478224 

forest 587 : -0.3615002 
forest mean 587 : -0.4071922 
forest RMSE 587 : 0.05660254 

nnet 587 : -0.3558673 
nnet mean 587 : -0.4080848 
nnet RMSE 587 : 0.1435281 


s: 588 
logit 588 : -0.5168117 
logit mean 588 : -0.452154 
logit RMSE 588 : 0.07120685 

boosting 588 : -0.2861183 
boosting mean 588 : -0.4388421 
boosting RMSE 588 : 0.1477713 

forest 588 : -0.3225522 
forest mean 588 : -0.4070483 
forest RMSE 588 : 0.0566445 

nnet 588 : -0.4402169 
nnet mean 588 : -0.4081395 
nnet RMSE 588 : 0.1434156 


s: 589 
logit 589 : -0.4110373 
logit mean 589 : -0.4520842 
logit RMSE 589 : 0.07114783 

boosting 589 : -0.589368 
boosting mean 589 : -0.4390976 
boosting RMSE 589 : 0.1478518 

forest 589 : -0.4298481 
forest mean 589 : -0.407087 
forest RMSE 589 : 0.05660976 

nnet 589 : -0.3262222 
nnet mean 589 : -0.4080004 
nnet RMSE 589 : 0.1433260 


s: 590 
logit 590 : -0.4857807 
logit mean 590 : -0.4521413 
logit RMSE 590 : 0.07117518 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 590 : -0.3695832 
boosting mean 590 : -0.4389798 
boosting RMSE 590 : 0.1477318 

forest 590 : -0.4380868 
forest mean 590 : -0.4071395 
forest RMSE 590 : 0.05658349 

nnet 590 : -0.3899105 
nnet mean 590 : -0.4079697 
nnet RMSE 590 : 0.1432051 


s: 591 
logit 591 : -0.4737768 
logit mean 591 : -0.4521779 
logit RMSE 591 : 0.07117966 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 591 : -0.3056564 
boosting mean 591 : -0.4387542 
boosting RMSE 591 : 0.1476577 

forest 591 : -0.496814 
forest mean 591 : -0.4072913 
forest RMSE 591 : 0.05667569 

nnet 591 : -0.4523421 
nnet mean 591 : -0.4080448 
nnet RMSE 591 : 0.1431001 


s: 592 
logit 592 : -0.5407649 
logit mean 592 : -0.4523276 
logit RMSE 592 : 0.07135444 

boosting 592 : -0.6752023 
boosting mean 592 : -0.4391536 
boosting RMSE 592 : 0.1479659 

forest 592 : -0.4618806 
forest mean 592 : -0.4073835 
forest RMSE 592 : 0.05668488 

nnet 592 : -0.6377843 
nnet mean 592 : -0.4084329 
nnet RMSE 592 : 0.1433128 


s: 593 
logit 593 : -0.4179874 
logit mean 593 : -0.4522697 
logit RMSE 593 : 0.07129808 

boosting 593 : -0.4222598 
boosting mean 593 : -0.4391252 
boosting RMSE 593 : 0.1478439 

forest 593 : -0.3508549 
forest mean 593 : -0.4072881 
forest RMSE 593 : 0.05667301 

nnet 593 : -0.6190074 
nnet mean 593 : -0.408788 
nnet RMSE 593 : 0.1434741 


s: 594 
logit 594 : -0.4186637 
logit mean 594 : -0.4522131 
logit RMSE 594 : 0.07124216 

boosting 594 : -0.4463817 
boosting mean 594 : -0.4391374 
boosting RMSE 594 : 0.1477317 

forest 594 : -0.3752941 
forest mean 594 : -0.4072343 
forest RMSE 594 : 0.05663436 

nnet 594 : -0.508917 
nnet mean 594 : -0.4089566 
nnet RMSE 594 : 0.1434229 


s: 595 
logit 595 : -0.4667398 
logit mean 595 : -0.4522375 
logit RMSE 595 : 0.07123483 

boosting 595 : -0.5305576 
boosting mean 595 : -0.439291 
boosting RMSE 595 : 0.1477045 

forest 595 : -0.4598031 
forest mean 595 : -0.4073226 
forest RMSE 595 : 0.05663984 

nnet 595 : -0.4184515 
nnet mean 595 : -0.4089725 
nnet RMSE 595 : 0.1433043 


s: 596 
logit 596 : -0.4616493 
logit mean 596 : -0.4522533 
logit RMSE 596 : 0.07121983 

boosting 596 : -0.2411854 
boosting mean 596 : -0.4389586 
boosting RMSE 596 : 0.1477238 

forest 596 : -0.3294860 
forest mean 596 : -0.407192 
forest RMSE 596 : 0.05666596 

nnet 596 : -0.3063722 
nnet mean 596 : -0.4088004 
nnet RMSE 596 : 0.1432354 


s: 597 
logit 597 : -0.5456465 
logit mean 597 : -0.4524097 
logit RMSE 597 : 0.07140938 

boosting 597 : -0.4967798 
boosting mean 597 : -0.4390555 
boosting RMSE 597 : 0.1476532 

forest 597 : -0.5513072 
forest mean 597 : -0.4074334 
forest RMSE 597 : 0.05695613 

nnet 597 : -0.4142477 
nnet mean 597 : -0.4088095 
nnet RMSE 597 : 0.1431166 


s: 598 
logit 598 : -0.4733581 
logit mean 598 : -0.4524448 
logit RMSE 598 : 0.07141269 

boosting 598 : -0.8459142 
boosting mean 598 : -0.4397358 
boosting RMSE 598 : 0.1486523 

forest 598 : -0.4589878 
forest mean 598 : -0.4075196 
forest RMSE 598 : 0.05695959 

nnet 598 : -0.4275396 
nnet mean 598 : -0.4088408 
nnet RMSE 598 : 0.1430013 


s: 599 
logit 599 : -0.4933594 
logit mean 599 : -0.4525131 
logit RMSE 599 : 0.07145494 

boosting 599 : -0.3311496 
boosting mean 599 : -0.4395546 
boosting RMSE 599 : 0.1485548 

forest 599 : -0.4693287 
forest mean 599 : -0.4076228 
forest RMSE 599 : 0.05698247 

nnet 599 : -0.4120267 
nnet mean 599 : -0.4088461 
nnet RMSE 599 : 0.1428827 


s: 600 
logit 600 : -0.4688766 
logit mean 600 : -0.4525403 
logit RMSE 600 : 0.07145072 

boosting 600 : -0.589405 
boosting mean 600 : -0.4398043 
boosting RMSE 600 : 0.1486323 

forest 600 : -0.4157033 
forest mean 600 : -0.4076363 
forest RMSE 600 : 0.05693858 

nnet 600 : -0.4336812 
nnet mean 600 : -0.4088875 
nnet RMSE 600 : 0.1427702 


s: 601 
logit 601 : -0.4699249 
logit mean 601 : -0.4525693 
logit RMSE 601 : 0.07144821 

boosting 601 : -0.6406826 
boosting mean 601 : -0.4401386 
boosting RMSE 601 : 0.1488327 

forest 601 : -0.3012662 
forest mean 601 : -0.4074593 
forest RMSE 601 : 0.05703356 

nnet 601 : -0.3386573 
nnet mean 601 : -0.4087707 
nnet RMSE 601 : 0.1426733 


s: 602 
logit 602 : -0.4798262 
logit mean 602 : -0.4526145 
logit RMSE 602 : 0.07146294 

boosting 602 : -0.5032264 
boosting mean 602 : -0.4402434 
boosting RMSE 602 : 0.1487686 

forest 602 : -0.4637934 
forest mean 602 : -0.4075529 
forest RMSE 602 : 0.05704546 

nnet 602 : -0.2697544 
nnet mean 602 : -0.4085398 
nnet RMSE 602 : 0.1426536 


s: 603 
logit 603 : -0.4383612 
logit mean 603 : -0.4525909 
logit RMSE 603 : 0.07142075 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 603 : -0.4505727 
boosting mean 603 : -0.4402605 
boosting RMSE 603 : 0.1486594 

forest 603 : -0.3389788 
forest mean 603 : -0.4074392 
forest RMSE 603 : 0.05705228 

nnet 603 : -0.4467459 
nnet mean 603 : -0.4086031 
nnet RMSE 603 : 0.1425480 


s: 604 
logit 604 : -0.3420195 
logit mean 604 : -0.4524078 
logit RMSE 604 : 0.07140059 

boosting 604 : -0.517363 
boosting mean 604 : -0.4403881 
boosting RMSE 604 : 0.1486130 

forest 604 : -0.4293763 
forest mean 604 : -0.4074755 
forest RMSE 604 : 0.05701756 

nnet 604 : -0.5415518 
nnet mean 604 : -0.4088232 
nnet RMSE 604 : 0.1425463 


s: 605 
logit 605 : -0.4096371 
logit mean 605 : -0.4523371 
logit RMSE 605 : 0.07134263 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 605 : -0.5435806 
boosting mean 605 : -0.4405587 
boosting RMSE 605 : 0.1486049 

forest 605 : -0.3134445 
forest mean 605 : -0.4073201 
forest RMSE 605 : 0.057079 

nnet 605 : -0.6964202 
nnet mean 605 : -0.4092986 
nnet RMSE 605 : 0.1429374 


s: 606 
logit 606 : -0.4955746 
logit mean 606 : -0.4524085 
logit RMSE 606 : 0.07138939 

boosting 606 : -0.4530027 
boosting mean 606 : -0.4405792 
boosting RMSE 606 : 0.1484978 

forest 606 : -0.3821260 
forest mean 606 : -0.4072785 
forest RMSE 606 : 0.05703651 

nnet 606 : -0.3561245 
nnet mean 606 : -0.4092108 
nnet RMSE 606 : 0.1428305 


s: 607 
logit 607 : -0.452447 
logit mean 607 : -0.4524086 
logit RMSE 607 : 0.07136232 

boosting 607 : -0.5026721 
boosting mean 607 : -0.4406815 
boosting RMSE 607 : 0.1484340 

forest 607 : -0.4730034 
forest mean 607 : -0.4073868 
forest RMSE 607 : 0.05706648 

nnet 607 : -0.4687189 
nnet mean 607 : -0.4093089 
nnet RMSE 607 : 0.1427401 


s: 608 
logit 608 : -0.3940936 
logit mean 608 : -0.4523126 
logit RMSE 608 : 0.07130401 

boosting 608 : -0.2591529 
boosting mean 608 : -0.440383 
boosting RMSE 608 : 0.1484218 

forest 608 : -0.3836341 
forest mean 608 : -0.4073477 
forest RMSE 608 : 0.0570234 

nnet 608 : -0.1192234 
nnet mean 608 : -0.4088318 
nnet RMSE 608 : 0.1430765 


s: 609 
logit 609 : -0.452992 
logit mean 609 : -0.4523138 
logit RMSE 609 : 0.0712778 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 609 : -0.6773791 
boosting mean 609 : -0.4407721 
boosting RMSE 609 : 0.1487252 

forest 609 : -0.4450888 
forest mean 609 : -0.4074097 
forest RMSE 609 : 0.05700585 

nnet 609 : -0.2218582 
nnet mean 609 : -0.4085248 
nnet RMSE 609 : 0.1431411 


s: 610 
logit 610 : -0.4382188 
logit mean 610 : -0.4522906 
logit RMSE 610 : 0.07123616 

boosting 610 : -0.2878642 
boosting mean 610 : -0.4405214 
boosting RMSE 610 : 0.1486726 

forest 610 : -0.3416311 
forest mean 610 : -0.4073018 
forest RMSE 610 : 0.05700811 

nnet 610 : -0.3823764 
nnet mean 610 : -0.4084819 
nnet RMSE 610 : 0.1430255 


s: 611 
logit 611 : -0.4831906 
logit mean 611 : -0.4523412 
logit RMSE 611 : 0.07125736 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 611 : -0.512396 
boosting mean 611 : -0.4406391 
boosting RMSE 611 : 0.1486205 

forest 611 : -0.4115614 
forest mean 611 : -0.4073088 
forest RMSE 611 : 0.05696336 

nnet 611 : -0.4872152 
nnet mean 611 : -0.4086107 
nnet RMSE 611 : 0.1429520 


s: 612 
logit 612 : -0.4614604 
logit mean 612 : -0.4523561 
logit RMSE 612 : 0.07124245 

boosting 612 : -0.6839127 
boosting mean 612 : -0.4410366 
boosting RMSE 612 : 0.1489418 

forest 612 : -0.3950462 
forest mean 612 : -0.4072888 
forest RMSE 612 : 0.05691715 

nnet 612 : -0.5068604 
nnet mean 612 : -0.4087713 
nnet RMSE 612 : 0.1429004 


s: 613 
logit 613 : -0.4573199 
logit mean 613 : -0.4523642 
logit RMSE 613 : 0.07122196 

boosting 613 : -0.2532038 
boosting mean 613 : -0.4407302 
boosting RMSE 613 : 0.1489383 

forest 613 : -0.3524982 
forest mean 613 : -0.4071994 
forest RMSE 613 : 0.05690306 

nnet 613 : -0.4612006 
nnet mean 613 : -0.4088568 
nnet RMSE 613 : 0.1428052 


s: 614 
logit 614 : -0.3849051 
logit mean 614 : -0.4522544 
logit RMSE 614 : 0.07116654 

boosting 614 : -0.4545138 
boosting mean 614 : -0.4407526 
boosting RMSE 614 : 0.1488333 

forest 614 : -0.3665094 
forest mean 614 : -0.4071331 
forest RMSE 614 : 0.05687277 

nnet 614 : -0.3657728 
nnet mean 614 : -0.4087866 
nnet RMSE 614 : 0.1426956 


s: 615 
logit 615 : -0.4219741 
logit mean 615 : -0.4522051 
logit RMSE 615 : 0.07111418 

boosting 615 : -0.4135972 
boosting mean 615 : -0.4407085 
boosting RMSE 615 : 0.1487132 

forest 615 : -0.431005 
forest mean 615 : -0.4071719 
forest RMSE 615 : 0.05684026 

nnet 615 : -0.3180632 
nnet mean 615 : -0.4086391 
nnet RMSE 615 : 0.1426178 


s: 616 
logit 616 : -0.4403494 
logit mean 616 : -0.4521859 
logit RMSE 616 : 0.07107503 

boosting 616 : -0.4720091 
boosting mean 616 : -0.4407593 
boosting RMSE 616 : 0.1486208 

forest 616 : -0.6056916 
forest mean 616 : -0.4074942 
forest RMSE 616 : 0.0573956 

nnet 616 : -0.2664898 
nnet mean 616 : -0.4084084 
nnet RMSE 616 : 0.1426035 


s: 617 
logit 617 : -0.4089947 
logit mean 617 : -0.4521159 
logit RMSE 617 : 0.07101833 

boosting 617 : -0.1462769 
boosting mean 617 : -0.440282 
boosting RMSE 617 : 0.1488512 

forest 617 : -0.3908195 
forest mean 617 : -0.4074672 
forest RMSE 617 : 0.05735025 

nnet 617 : -0.302461 
nnet mean 617 : -0.4082367 
nnet RMSE 617 : 0.1425420 


s: 618 
logit 618 : -0.3650959 
logit mean 618 : -0.4519751 
logit RMSE 618 : 0.07097474 

boosting 618 : -0.4139325 
boosting mean 618 : -0.4402394 
boosting RMSE 618 : 0.1487318 

forest 618 : -0.3303708 
forest mean 618 : -0.4073424 
forest RMSE 618 : 0.05737225 

nnet 618 : -0.3060511 
nnet mean 618 : -0.4080713 
nnet RMSE 618 : 0.1424767 


s: 619 
logit 619 : -0.4538413 
logit mean 619 : -0.4519781 
logit RMSE 619 : 0.0709504 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 619 : -0.5906072 
boosting mean 619 : -0.4404823 
boosting RMSE 619 : 0.1488089 

forest 619 : -0.4579507 
forest mean 619 : -0.4074242 
forest RMSE 619 : 0.05737319 

nnet 619 : -0.3192143 
nnet mean 619 : -0.4079278 
nnet RMSE 619 : 0.1423986 


s: 620 
logit 620 : -0.4951352 
logit mean 620 : -0.4520477 
logit RMSE 620 : 0.07099604 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 620 : -0.7629788 
boosting mean 620 : -0.4410024 
boosting RMSE 620 : 0.1494018 

forest 620 : -0.5563073 
forest mean 620 : -0.4076643 
forest RMSE 620 : 0.05766957 

nnet 620 : -0.2835660 
nnet mean 620 : -0.4077272 
nnet RMSE 620 : 0.1423606 


s: 621 
logit 621 : -0.4839015 
logit mean 621 : -0.452099 
logit RMSE 621 : 0.07101871 

boosting 621 : -0.4626767 
boosting mean 621 : -0.4410373 
boosting RMSE 621 : 0.1493026 

forest 621 : -0.3920976 
forest mean 621 : -0.4076393 
forest RMSE 621 : 0.057624 

nnet 621 : -0.3638791 
nnet mean 621 : -0.4076566 
nnet RMSE 621 : 0.1422533 


s: 622 
logit 622 : -0.4614564 
logit mean 622 : -0.452114 
logit RMSE 622 : 0.07100437 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 622 : -0.2582149 
boosting mean 622 : -0.4407434 
boosting RMSE 622 : 0.1492908 

forest 622 : -0.3093357 
forest mean 622 : -0.4074812 
forest RMSE 622 : 0.0576923 

nnet 622 : -0.4413729 
nnet mean 622 : -0.4077108 
nnet RMSE 622 : 0.1421486 


s: 623 
logit 623 : -0.4778525 
logit mean 623 : -0.4521553 
logit RMSE 623 : 0.07101589 

boosting 623 : -0.6860735 
boosting mean 623 : -0.4411372 
boosting RMSE 623 : 0.1496106 

forest 623 : -0.4514812 
forest mean 623 : -0.4075518 
forest RMSE 623 : 0.05768287 

nnet 623 : -0.2568427 
nnet mean 623 : -0.4074686 
nnet RMSE 623 : 0.1421502 


s: 624 
logit 624 : -0.4102934 
logit mean 624 : -0.4520882 
logit RMSE 624 : 0.07096016 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 624 : -0.6038984 
boosting mean 624 : -0.441398 
boosting RMSE 624 : 0.1497134 

forest 624 : -0.2853021 
forest mean 624 : -0.4073559 
forest RMSE 624 : 0.05781923 

nnet 624 : -0.4096753 
nnet mean 624 : -0.4074721 
nnet RMSE 624 : 0.1420368 


s: 625 
logit 625 : -0.5473967 
logit mean 625 : -0.4522407 
logit RMSE 625 : 0.07114808 

boosting 625 : -0.4169472 
boosting mean 625 : -0.4413589 
boosting RMSE 625 : 0.1495951 

forest 625 : -0.335843 
forest mean 625 : -0.4072415 
forest RMSE 625 : 0.05782993 

nnet 625 : -0.4944105 
nnet mean 625 : -0.4076112 
nnet RMSE 625 : 0.1419733 


s: 626 
logit 626 : -0.4848188 
logit mean 626 : -0.4522928 
logit RMSE 626 : 0.07117201 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 626 : -0.4930116 
boosting mean 626 : -0.4414414 
boosting RMSE 626 : 0.1495218 

forest 626 : -0.4041604 
forest mean 626 : -0.4072366 
forest RMSE 626 : 0.05778396 

nnet 626 : -0.4299095 
nnet mean 626 : -0.4076469 
nnet RMSE 626 : 0.1418649 


s: 627 
logit 627 : -0.5347823 
logit mean 627 : -0.4524243 
logit RMSE 627 : 0.07131865 

boosting 627 : -0.2309817 
boosting mean 627 : -0.4411058 
boosting RMSE 627 : 0.1495549 

forest 627 : -0.3997896 
forest mean 627 : -0.4072247 
forest RMSE 627 : 0.05773786 

nnet 627 : -0.2211640 
nnet mean 627 : -0.4073494 
nnet RMSE 627 : 0.1419315 


s: 628 
logit 628 : -0.3885343 
logit mean 628 : -0.4523226 
logit RMSE 628 : 0.07126331 

boosting 628 : -0.5094713 
boosting mean 628 : -0.4412146 
boosting RMSE 628 : 0.1494996 

forest 628 : -0.3790365 
forest mean 628 : -0.4071798 
forest RMSE 628 : 0.05769794 

nnet 628 : -0.4754413 
nnet mean 628 : -0.4074579 
nnet RMSE 628 : 0.1418504 


s: 629 
logit 629 : -0.4518945 
logit mean 629 : -0.4523219 
logit RMSE 629 : 0.0712367 

boosting 629 : -0.4668922 
boosting mean 629 : -0.4412555 
boosting RMSE 629 : 0.1494045 

forest 629 : -0.372514 
forest mean 629 : -0.4071247 
forest RMSE 629 : 0.05766247 

nnet 629 : -0.1960971 
nnet mean 629 : -0.4071218 
nnet RMSE 629 : 0.1419706 


s: 630 
logit 630 : -0.4182908 
logit mean 630 : -0.4522679 
logit RMSE 630 : 0.07118387 

boosting 630 : -0.3962587 
boosting mean 630 : -0.441184 
boosting RMSE 630 : 0.1492860 

forest 630 : -0.341247 
forest mean 630 : -0.4070201 
forest RMSE 630 : 0.05766422 

nnet 630 : -0.5769036 
nnet mean 630 : -0.4073913 
nnet RMSE 630 : 0.1420329 


s: 631 
logit 631 : -0.4913427 
logit mean 631 : -0.4523298 
logit RMSE 631 : 0.07122033 

boosting 631 : -0.3758382 
boosting mean 631 : -0.4410805 
boosting RMSE 631 : 0.1491707 

forest 631 : -0.4122799 
forest mean 631 : -0.4070285 
forest RMSE 631 : 0.05762058 

nnet 631 : -0.5606905 
nnet mean 631 : -0.4076343 
nnet RMSE 631 : 0.1420644 


s: 632 
logit 632 : -0.4172351 
logit mean 632 : -0.4522743 
logit RMSE 632 : 0.07116726 

boosting 632 : -0.3648847 
boosting mean 632 : -0.4409599 
boosting RMSE 632 : 0.1490592 

forest 632 : -0.4566806 
forest mean 632 : -0.407107 
forest RMSE 632 : 0.05761911 

nnet 632 : -0.4636515 
nnet mean 632 : -0.4077229 
nnet RMSE 632 : 0.1419745 


s: 633 
logit 633 : -0.405513 
logit mean 633 : -0.4522004 
logit RMSE 633 : 0.07111137 

boosting 633 : -0.6555282 
boosting mean 633 : -0.4412989 
boosting RMSE 633 : 0.1492873 

forest 633 : -0.4504104 
forest mean 633 : -0.4071754 
forest RMSE 633 : 0.05760843 

nnet 633 : -0.5898606 
nnet mean 633 : -0.4080107 
nnet RMSE 633 : 0.1420629 


s: 634 
logit 634 : -0.4895988 
logit mean 634 : -0.4522594 
logit RMSE 634 : 0.07114431 

boosting 634 : -0.598051 
boosting mean 634 : -0.4415461 
boosting RMSE 634 : 0.1493768 

forest 634 : -0.4981443 
forest mean 634 : -0.4073189 
forest RMSE 634 : 0.0576948 

nnet 634 : -0.6776628 
nnet mean 634 : -0.408436 
nnet RMSE 634 : 0.1423785 


s: 635 
logit 635 : -0.4283395 
logit mean 635 : -0.4522218 
logit RMSE 635 : 0.07109716 

boosting 635 : -0.610697 
boosting mean 635 : -0.4418125 
boosting RMSE 635 : 0.1494931 

forest 635 : -0.4533883 
forest mean 635 : -0.4073915 
forest RMSE 635 : 0.05768827 

nnet 635 : -0.2431250 
nnet mean 635 : -0.4081756 
nnet RMSE 635 : 0.1424025 


s: 636 
logit 636 : -0.3957656 
logit mean 636 : -0.452133 
logit RMSE 636 : 0.07104144 

boosting 636 : -0.2323313 
boosting mean 636 : -0.4414831 
boosting RMSE 636 : 0.1495234 

forest 636 : -0.3402777 
forest mean 636 : -0.4072860 
forest RMSE 636 : 0.05769152 

nnet 636 : -0.6283306 
nnet mean 636 : -0.4085218 
nnet RMSE 636 : 0.1425783 


s: 637 
logit 637 : -0.4396089 
logit mean 637 : -0.4521133 
logit RMSE 637 : 0.071003 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 637 : -0.4939971 
boosting mean 637 : -0.4415656 
boosting RMSE 637 : 0.1494524 

forest 637 : -0.3812524 
forest mean 637 : -0.4072451 
forest RMSE 637 : 0.057651 

nnet 637 : -0.2754600 
nnet mean 637 : -0.4083129 
nnet RMSE 637 : 0.1425517 


s: 638 
logit 638 : -0.4798764 
logit mean 638 : -0.4521568 
logit RMSE 638 : 0.07101778 

boosting 638 : -0.4887217 
boosting mean 638 : -0.4416395 
boosting RMSE 638 : 0.1493765 

forest 638 : -0.5545187 
forest mean 638 : -0.4074759 
forest RMSE 638 : 0.05792972 

nnet 638 : -0.6968395 
nnet mean 638 : -0.4087651 
nnet RMSE 638 : 0.1429240 


s: 639 
logit 639 : -0.5030563 
logit mean 639 : -0.4522365 
logit RMSE 639 : 0.0710792 

boosting 639 : -0.519237 
boosting mean 639 : -0.4417609 
boosting RMSE 639 : 0.1493341 

forest 639 : -0.4996682 
forest mean 639 : -0.4076202 
forest RMSE 639 : 0.0580185 

nnet 639 : -0.3264302 
nnet mean 639 : -0.4086363 
nnet RMSE 639 : 0.1428417 


s: 640 
logit 640 : -0.4480641 
logit mean 640 : -0.45223 
logit RMSE 640 : 0.07104906 

boosting 640 : -0.4023410 
boosting mean 640 : -0.4416993 
boosting RMSE 640 : 0.1492175 

forest 640 : -0.4400367 
forest mean 640 : -0.4076708 
forest RMSE 640 : 0.05799475 

nnet 640 : -0.1224605 
nnet mean 640 : -0.4081891 
nnet RMSE 640 : 0.1431511 


s: 641 
logit 641 : -0.4835339 
logit mean 641 : -0.4522788 
logit RMSE 641 : 0.07107024 

boosting 641 : -0.6951319 
boosting mean 641 : -0.4420947 
boosting RMSE 641 : 0.149556 

forest 641 : -0.4396225 
forest mean 641 : -0.4077207 
forest RMSE 641 : 0.05797063 

nnet 641 : -0.3867728 
nnet mean 641 : -0.4081557 
nnet RMSE 641 : 0.1430403 


s: 642 
logit 642 : -0.4144835 
logit mean 642 : -0.4522199 
logit RMSE 642 : 0.07101717 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 642 : -0.5692433 
boosting mean 642 : -0.4422927 
boosting RMSE 642 : 0.1495887 

forest 642 : -0.5209228 
forest mean 642 : -0.407897 
forest RMSE 642 : 0.05812173 

nnet 642 : -0.4241249 
nnet mean 642 : -0.4081806 
nnet RMSE 642 : 0.1429321 


s: 643 
logit 643 : -0.4420167 
logit mean 643 : -0.4522041 
logit RMSE 643 : 0.07098127 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 643 : -0.3310493 
boosting mean 643 : -0.4421197 
boosting RMSE 643 : 0.1494970 

forest 643 : -0.3089585 
forest mean 643 : -0.4077432 
forest RMSE 643 : 0.05818738 

nnet 643 : -0.3356712 
nnet mean 643 : -0.4080678 
nnet RMSE 643 : 0.1428434 


s: 644 
logit 644 : -0.3970015 
logit mean 644 : -0.4521184 
logit RMSE 644 : 0.07092624 

boosting 644 : -0.4466364 
boosting mean 644 : -0.4421267 
boosting RMSE 644 : 0.1493922 

forest 644 : -0.3986649 
forest mean 644 : -0.4077291 
forest RMSE 644 : 0.05814221 

nnet 644 : -0.1189979 
nnet mean 644 : -0.407619 
nnet RMSE 644 : 0.1431613 


s: 645 
logit 645 : -0.4986504 
logit mean 645 : -0.4521905 
logit RMSE 645 : 0.0709776 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 645 : -0.5009692 
boosting mean 645 : -0.442218 
boosting RMSE 645 : 0.1493293 

forest 645 : -0.3131383 
forest mean 645 : -0.4075824 
forest RMSE 645 : 0.05819771 

nnet 645 : -0.2336264 
nnet mean 645 : -0.4073492 
nnet RMSE 645 : 0.1432002 


s: 646 
logit 646 : -0.3765707 
logit mean 646 : -0.4520734 
logit RMSE 646 : 0.07092863 

boosting 646 : -0.2968597 
boosting mean 646 : -0.441993 
boosting RMSE 646 : 0.1492689 

forest 646 : -0.396889 
forest mean 646 : -0.4075658 
forest RMSE 646 : 0.05815278 

nnet 646 : -0.3010531 
nnet mean 646 : -0.4071847 
nnet RMSE 646 : 0.1431423 


s: 647 
logit 647 : -0.5435486 
logit mean 647 : -0.4522148 
logit RMSE 647 : 0.07109813 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 647 : -0.5660575 
boosting mean 647 : -0.4421847 
boosting RMSE 647 : 0.1492963 

forest 647 : -0.4386265 
forest mean 647 : -0.4076139 
forest RMSE 647 : 0.05812766 

nnet 647 : -0.693915 
nnet mean 647 : -0.4076278 
nnet RMSE 647 : 0.1434976 


s: 648 
logit 648 : -0.4409452 
logit mean 648 : -0.4521974 
logit RMSE 648 : 0.07106146 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 648 : -0.4586628 
boosting mean 648 : -0.4422101 
boosting RMSE 648 : 0.1491988 

forest 648 : -0.4606473 
forest mean 648 : -0.4076957 
forest RMSE 648 : 0.05813163 

nnet 648 : -0.3289514 
nnet mean 648 : -0.4075064 
nnet RMSE 648 : 0.1434140 


s: 649 
logit 649 : -0.4643041 
logit mean 649 : -0.4522161 
logit RMSE 649 : 0.07105154 

boosting 649 : -0.4884571 
boosting mean 649 : -0.4422814 
boosting RMSE 649 : 0.1491243 

forest 649 : -0.4339245 
forest mean 649 : -0.4077361 
forest RMSE 649 : 0.05810209 

nnet 649 : -0.5067612 
nnet mean 649 : -0.4076594 
nnet RMSE 649 : 0.1433648 


s: 650 
logit 650 : -0.4669451 
logit mean 650 : -0.4522387 
logit RMSE 650 : 0.0710454 

boosting 650 : -0.6151028 
boosting mean 650 : -0.4425473 
boosting RMSE 650 : 0.1492482 

forest 650 : -0.389602 
forest mean 650 : -0.4077082 
forest RMSE 650 : 0.05805881 

nnet 650 : -0.3592685 
nnet mean 650 : -0.4075849 
nnet RMSE 650 : 0.1432633 


s: 651 
logit 651 : -0.5020187 
logit mean 651 : -0.4523152 
logit RMSE 651 : 0.07110333 

boosting 651 : -0.564905 
boosting mean 651 : -0.4427352 
boosting RMSE 651 : 0.1492735 

forest 651 : -0.4586396 
forest mean 651 : -0.4077864 
forest RMSE 651 : 0.05805971 

nnet 651 : -0.5943714 
nnet mean 651 : -0.4078718 
nnet RMSE 651 : 0.1433558 


s: 652 
logit 652 : -0.4211485 
logit mean 652 : -0.4522674 
logit RMSE 652 : 0.07105361 

boosting 652 : -0.4544713 
boosting mean 652 : -0.4427532 
boosting RMSE 652 : 0.1491742 

forest 652 : -0.4057483 
forest mean 652 : -0.4077833 
forest RMSE 652 : 0.0580156 

nnet 652 : -0.43956 
nnet mean 652 : -0.4079204 
nnet RMSE 652 : 0.1432542 


s: 653 
logit 653 : -0.4933571 
logit mean 653 : -0.4523303 
logit RMSE 653 : 0.07109311 

boosting 653 : -0.559019 
boosting mean 653 : -0.4429313 
boosting RMSE 653 : 0.1491898 

forest 653 : -0.3327183 
forest mean 653 : -0.4076684 
forest RMSE 653 : 0.05803093 

nnet 653 : -0.4532024 
nnet mean 653 : -0.4079898 
nnet RMSE 653 : 0.1431596 


s: 654 
logit 654 : -0.3682768 
logit mean 654 : -0.4522018 
logit RMSE 654 : 0.07104957 

boosting 654 : -0.4836928 
boosting mean 654 : -0.4429936 
boosting RMSE 654 : 0.1491116 

forest 654 : -0.5065454 
forest mean 654 : -0.4078196 
forest RMSE 654 : 0.05813602 

nnet 654 : -0.1885028 
nnet mean 654 : -0.4076542 
nnet RMSE 654 : 0.143289 


s: 655 
logit 655 : -0.4042839 
logit mean 655 : -0.4521287 
logit RMSE 655 : 0.07099551 

boosting 655 : -0.3438766 
boosting mean 655 : -0.4428423 
boosting RMSE 655 : 0.1490139 

forest 655 : -0.3417171 
forest mean 655 : -0.4077186 
forest RMSE 655 : 0.05813624 

nnet 655 : -0.4314516 
nnet mean 655 : -0.4076905 
nnet RMSE 655 : 0.1431849 


s: 656 
logit 656 : -0.4199889 
logit mean 656 : -0.4520797 
logit RMSE 656 : 0.07094567 

boosting 656 : -0.4373240 
boosting mean 656 : -0.4428339 
boosting RMSE 656 : 0.1489074 

forest 656 : -0.3123471 
forest mean 656 : -0.4075733 
forest RMSE 656 : 0.05819263 

nnet 656 : -0.4142648 
nnet mean 656 : -0.4077005 
nnet RMSE 656 : 0.1430768 


s: 657 
logit 657 : -0.454267 
logit mean 657 : -0.452083 
logit RMSE 657 : 0.07092327 

boosting 657 : -0.3012788 
boosting mean 657 : -0.4426184 
boosting RMSE 657 : 0.1488439 

forest 657 : -0.5221072 
forest mean 657 : -0.4077476 
forest RMSE 657 : 0.05834315 

nnet 657 : -0.4338694 
nnet mean 657 : -0.4077404 
nnet RMSE 657 : 0.1429739 


s: 658 
logit 658 : -0.3952221 
logit mean 658 : -0.4519966 
logit RMSE 658 : 0.0708696 

boosting 658 : -0.5825281 
boosting mean 658 : -0.4428311 
boosting RMSE 658 : 0.1489008 

forest 658 : -0.3572481 
forest mean 658 : -0.4076708 
forest RMSE 658 : 0.05832261 

nnet 658 : -0.4078608 
nnet mean 658 : -0.4077405 
nnet RMSE 658 : 0.1428656 


s: 659 
logit 659 : -0.3948056 
logit mean 659 : -0.4519098 
logit RMSE 659 : 0.0708161 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 659 : -0.3886428 
boosting mean 659 : -0.4427488 
boosting RMSE 659 : 0.1487885 

forest 659 : -0.3863394 
forest mean 659 : -0.4076385 
forest RMSE 659 : 0.05828078 

nnet 659 : -0.4100804 
nnet mean 659 : -0.4077441 
nnet RMSE 659 : 0.1427577 


s: 660 
logit 660 : -0.4255233 
logit mean 660 : -0.4518698 
logit RMSE 660 : 0.0707694 

boosting 660 : -0.404646 
boosting mean 660 : -0.4426911 
boosting RMSE 660 : 0.1486758 

forest 660 : -0.4409439 
forest mean 660 : -0.4076889 
forest RMSE 660 : 0.05825841 

nnet 660 : -0.4983828 
nnet mean 660 : -0.4078814 
nnet RMSE 660 : 0.1427009 


s: 661 
logit 661 : -0.4405046 
logit mean 661 : -0.4518526 
logit RMSE 661 : 0.0707334 

boosting 661 : -0.4660588 
boosting mean 661 : -0.4427264 
boosting RMSE 661 : 0.1485855 

forest 661 : -0.422856 
forest mean 661 : -0.4077119 
forest RMSE 661 : 0.05822111 

nnet 661 : -0.6041685 
nnet mean 661 : -0.4081784 
nnet RMSE 661 : 0.1428139 


s: 662 
logit 662 : -0.5604806 
logit mean 662 : -0.4520167 
logit RMSE 662 : 0.07095462 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 662 : -0.3292158 
boosting mean 662 : -0.442555 
boosting RMSE 662 : 0.1484987 

forest 662 : -0.4591102 
forest mean 662 : -0.4077895 
forest RMSE 662 : 0.05822247 

nnet 662 : -0.2528032 
nnet mean 662 : -0.4079437 
nnet RMSE 662 : 0.1428206 


s: 663 
logit 663 : -0.4422017 
logit mean 663 : -0.4520019 
logit RMSE 663 : 0.07092003 

boosting 663 : -0.4180267 
boosting mean 663 : -0.442518 
boosting RMSE 663 : 0.1483884 

forest 663 : -0.4030302 
forest mean 663 : -0.4077823 
forest RMSE 663 : 0.05817866 

nnet 663 : -0.5297382 
nnet mean 663 : -0.4081274 
nnet RMSE 663 : 0.1428018 


s: 664 
logit 664 : -0.4391501 
logit mean 664 : -0.4519826 
logit RMSE 664 : 0.0708829 

boosting 664 : -0.3209002 
boosting mean 664 : -0.4423348 
boosting RMSE 664 : 0.1483084 

forest 664 : -0.3681355 
forest mean 664 : -0.4077226 
forest RMSE 664 : 0.05814798 

nnet 664 : -0.350715 
nnet mean 664 : -0.4080409 
nnet RMSE 664 : 0.142707 


s: 665 
logit 665 : -0.4236243 
logit mean 665 : -0.4519399 
logit RMSE 665 : 0.0708355 

boosting 665 : -0.3859643 
boosting mean 665 : -0.4422501 
boosting RMSE 665 : 0.1481978 

forest 665 : -0.3312600 
forest mean 665 : -0.4076076 
forest RMSE 665 : 0.05816536 

nnet 665 : -0.4219565 
nnet mean 665 : -0.4080618 
nnet RMSE 665 : 0.1426022 


s: 666 
logit 666 : -0.4880366 
logit mean 666 : -0.4519941 
logit RMSE 666 : 0.07086446 

boosting 666 : -0.5158724 
boosting mean 666 : -0.4423606 
boosting RMSE 666 : 0.1481546 

forest 666 : -0.3667295 
forest mean 666 : -0.4075463 
forest RMSE 666 : 0.05813597 

nnet 666 : -0.1722077 
nnet mean 666 : -0.4077077 
nnet RMSE 666 : 0.1427682 


s: 667 
logit 667 : -0.4754248 
logit mean 667 : -0.4520292 
logit RMSE 667 : 0.07087152 

boosting 667 : -0.5832575 
boosting mean 667 : -0.4425718 
boosting RMSE 667 : 0.1482134 

forest 667 : -0.374105 
forest mean 667 : -0.4074961 
forest RMSE 667 : 0.05810103 

nnet 667 : -0.1993405 
nnet mean 667 : -0.4073953 
nnet RMSE 667 : 0.1428726 


s: 668 
logit 668 : -0.4357412 
logit mean 668 : -0.4520049 
logit RMSE 668 : 0.07083195 

boosting 668 : -0.5489983 
boosting mean 668 : -0.4427312 
boosting RMSE 668 : 0.1482146 

forest 668 : -0.3835163 
forest mean 668 : -0.4074602 
forest RMSE 668 : 0.05806103 

nnet 668 : -0.6053426 
nnet mean 668 : -0.4076916 
nnet RMSE 668 : 0.1429865 


s: 669 
logit 669 : -0.3982270 
logit mean 669 : -0.4519245 
logit RMSE 669 : 0.07077903 

boosting 669 : -0.2517193 
boosting mean 669 : -0.4424456 
boosting RMSE 669 : 0.1482147 

forest 669 : -0.5066899 
forest mean 669 : -0.4076086 
forest RMSE 669 : 0.05816406 

nnet 669 : -0.5094717 
nnet mean 669 : -0.4078438 
nnet RMSE 669 : 0.1429423 


s: 670 
logit 670 : -0.4329593 
logit mean 670 : -0.4518962 
logit RMSE 670 : 0.07073765 

boosting 670 : -0.6135535 
boosting mean 670 : -0.442701 
boosting RMSE 670 : 0.1483337 

forest 670 : -0.3701377 
forest mean 670 : -0.4075526 
forest RMSE 670 : 0.05813209 

nnet 670 : -0.5881103 
nnet mean 670 : -0.4081128 
nnet RMSE 670 : 0.1430203 


s: 671 
logit 671 : -0.5267755 
logit mean 671 : -0.4520078 
logit RMSE 671 : 0.07085415 

boosting 671 : -0.3297971 
boosting mean 671 : -0.4425328 
boosting RMSE 671 : 0.1482479 

forest 671 : -0.3165606 
forest mean 671 : -0.407417 
forest RMSE 671 : 0.058178 

nnet 671 : -0.5193261 
nnet mean 671 : -0.4082786 
nnet RMSE 671 : 0.1429879 


s: 672 
logit 672 : -0.4872817 
logit mean 672 : -0.4520602 
logit RMSE 672 : 0.07088142 

boosting 672 : -0.4165745 
boosting mean 672 : -0.4424941 
boosting RMSE 672 : 0.1481389 

forest 672 : -0.3514259 
forest mean 672 : -0.4073337 
forest RMSE 672 : 0.05816488 

nnet 672 : -0.3388942 
nnet mean 672 : -0.4081753 
nnet RMSE 672 : 0.1429009 


s: 673 
logit 673 : -0.4735084 
logit mean 673 : -0.4520921 
logit RMSE 673 : 0.0708854 

boosting 673 : -0.5300527 
boosting mean 673 : -0.4426242 
boosting RMSE 673 : 0.1481137 

forest 673 : -0.4692229 
forest mean 673 : -0.4074257 
forest RMSE 673 : 0.05818287 

nnet 673 : -0.3528781 
nnet mean 673 : -0.4080932 
nnet RMSE 673 : 0.1428063 


s: 674 
logit 674 : -0.4062923 
logit mean 674 : -0.4520242 
logit RMSE 674 : 0.0708332 

boosting 674 : -0.6685704 
boosting mean 674 : -0.4429595 
boosting RMSE 674 : 0.1483648 

forest 674 : -0.3364089 
forest mean 674 : -0.4073203 
forest RMSE 674 : 0.05819127 

nnet 674 : -0.4806366 
nnet mean 674 : -0.4082008 
nnet RMSE 674 : 0.1427341 


s: 675 
logit 675 : -0.3011432 
logit mean 675 : -0.4518006 
logit RMSE 675 : 0.07088292 

boosting 675 : -0.4323054 
boosting mean 675 : -0.4429437 
boosting RMSE 675 : 0.1482601 

forest 675 : -0.4709848 
forest mean 675 : -0.4074146 
forest RMSE 675 : 0.0582123 

nnet 675 : -0.4774123 
nnet mean 675 : -0.4083033 
nnet RMSE 675 : 0.1426595 


s: 676 
logit 676 : -0.4828622 
logit mean 676 : -0.4518466 
logit RMSE 676 : 0.07090213 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 676 : -0.3865727 
boosting mean 676 : -0.4428603 
boosting RMSE 676 : 0.1481513 

forest 676 : -0.4505295 
forest mean 676 : -0.4074784 
forest RMSE 676 : 0.05820169 

nnet 676 : -0.3299311 
nnet mean 676 : -0.4081874 
nnet RMSE 676 : 0.1425794 


s: 677 
logit 677 : -0.3805643 
logit mean 677 : -0.4517413 
logit RMSE 677 : 0.07085369 

boosting 677 : -0.44735 
boosting mean 677 : -0.4428669 
boosting RMSE 677 : 0.1480530 

forest 677 : -0.513069 
forest mean 677 : -0.4076344 
forest RMSE 677 : 0.05832081 

nnet 677 : -0.08985796 
nnet mean 677 : -0.4077172 
nnet RMSE 677 : 0.1429718 


s: 678 
logit 678 : -0.4552932 
logit mean 678 : -0.4517465 
logit RMSE 678 : 0.07083325 

boosting 678 : -0.3619989 
boosting mean 678 : -0.4427477 
boosting RMSE 678 : 0.147951 

forest 678 : -0.3433602 
forest mean 678 : -0.4075396 
forest RMSE 678 : 0.05831837 

nnet 678 : -0.2787955 
nnet mean 678 : -0.407527 
nnet RMSE 678 : 0.1429421 


s: 679 
logit 679 : -0.4501939 
logit mean 679 : -0.4517442 
logit RMSE 679 : 0.07080728 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 679 : -0.4788131 
boosting mean 679 : -0.4428008 
boosting RMSE 679 : 0.1478730 

forest 679 : -0.5004953 
forest mean 679 : -0.4076765 
forest RMSE 679 : 0.05840289 

nnet 679 : -0.361401 
nnet mean 679 : -0.4074591 
nnet RMSE 679 : 0.1428445 


s: 680 
logit 680 : -0.4173594 
logit mean 680 : -0.4516937 
logit RMSE 680 : 0.07075833 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 680 : -0.4261891 
boosting mean 680 : -0.4427763 
boosting RMSE 680 : 0.1477676 

forest 680 : -0.3463249 
forest mean 680 : -0.4075862 
forest RMSE 680 : 0.05839621 

nnet 680 : -0.3897103 
nnet mean 680 : -0.407433 
nnet RMSE 680 : 0.1427400 


s: 681 
logit 681 : -0.4383455 
logit mean 681 : -0.4516741 
logit RMSE 681 : 0.07072162 

boosting 681 : -0.4714176 
boosting mean 681 : -0.4428184 
boosting RMSE 681 : 0.1476844 

forest 681 : -0.4543079 
forest mean 681 : -0.4076549 
forest RMSE 681 : 0.05839042 

nnet 681 : -0.4505314 
nnet mean 681 : -0.4074963 
nnet RMSE 681 : 0.1426483 


s: 682 
logit 682 : -0.4011336 
logit mean 682 : -0.4516 
logit RMSE 682 : 0.07066977 

boosting 682 : -0.4529042 
boosting mean 682 : -0.4428332 
boosting RMSE 682 : 0.14759 

forest 682 : -0.3806502 
forest mean 682 : -0.4076153 
forest RMSE 682 : 0.0583523 

nnet 682 : -0.2981714 
nnet mean 682 : -0.407336 
nnet RMSE 682 : 0.1425970 


s: 683 
logit 683 : -0.4410697 
logit mean 683 : -0.4515846 
logit RMSE 683 : 0.0706355 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 683 : -0.3647811 
boosting mean 683 : -0.4427189 
boosting RMSE 683 : 0.1474881 

forest 683 : -0.2234474 
forest mean 683 : -0.4073456 
forest RMSE 683 : 0.0586996 

nnet 683 : -0.4089344 
nnet mean 683 : -0.4073383 
nnet RMSE 683 : 0.1424930 


s: 684 
logit 684 : -0.4599953 
logit mean 684 : -0.4515968 
logit RMSE 684 : 0.07062111 

boosting 684 : -0.5038879 
boosting mean 684 : -0.4428083 
boosting RMSE 684 : 0.1474338 

forest 684 : -0.3295730 
forest mean 684 : -0.4072319 
forest RMSE 684 : 0.05871846 

nnet 684 : -0.2465361 
nnet mean 684 : -0.4071032 
nnet RMSE 684 : 0.1425096 


s: 685 
logit 685 : -0.4465813 
logit mean 685 : -0.4515895 
logit RMSE 685 : 0.07059199 

boosting 685 : -0.1282247 
boosting mean 685 : -0.4423491 
boosting RMSE 685 : 0.1476916 

forest 685 : -0.2691625 
forest mean 685 : -0.4070303 
forest RMSE 685 : 0.05888815 

nnet 685 : -0.4110385 
nnet mean 685 : -0.407109 
nnet RMSE 685 : 0.1424062 


s: 686 
logit 686 : -0.3897667 
logit mean 686 : -0.4514994 
logit RMSE 686 : 0.0705416 

boosting 686 : -0.4162718 
boosting mean 686 : -0.4423111 
boosting RMSE 686 : 0.1475852 

forest 686 : -0.4728838 
forest mean 686 : -0.4071263 
forest RMSE 686 : 0.05891098 

nnet 686 : -0.667066 
nnet mean 686 : -0.4074879 
nnet RMSE 686 : 0.1426672 


s: 687 
logit 687 : -0.3929301 
logit mean 687 : -0.4514142 
logit RMSE 687 : 0.07049075 

boosting 687 : -0.1616877 
boosting mean 687 : -0.4419026 
boosting RMSE 687 : 0.1477578 

forest 687 : -0.2622088 
forest mean 687 : -0.4069154 
forest RMSE 687 : 0.05910235 

nnet 687 : -0.1847048 
nnet mean 687 : -0.4071636 
nnet RMSE 687 : 0.1427998 


s: 688 
logit 688 : -0.4932984 
logit mean 688 : -0.451475 
logit RMSE 688 : 0.07052926 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 688 : -0.4847623 
boosting mean 688 : -0.4419649 
boosting RMSE 688 : 0.1476857 

forest 688 : -0.405175 
forest mean 688 : -0.4069129 
forest RMSE 688 : 0.05905971 

nnet 688 : -0.2175442 
nnet mean 688 : -0.406888 
nnet RMSE 688 : 0.1428654 


s: 689 
logit 689 : -0.4381068 
logit mean 689 : -0.4514556 
logit RMSE 689 : 0.070493 

boosting 689 : -0.2493403 
boosting mean 689 : -0.4416853 
boosting RMSE 689 : 0.1476901 

forest 689 : -0.3138855 
forest mean 689 : -0.4067779 
forest RMSE 689 : 0.05910796 

nnet 689 : -0.3206727 
nnet mean 689 : -0.4067629 
nnet RMSE 689 : 0.1427937 


s: 690 
logit 690 : -0.4504616 
logit mean 690 : -0.4514542 
logit RMSE 690 : 0.0704681 

boosting 690 : -0.4288023 
boosting mean 690 : -0.4416667 
boosting RMSE 690 : 0.1475871 

forest 690 : -0.3862236 
forest mean 690 : -0.4067481 
forest RMSE 690 : 0.05906744 

nnet 690 : -0.5473624 
nnet mean 690 : -0.4069667 
nnet RMSE 690 : 0.1428004 


s: 691 
logit 691 : -0.4461007 
logit mean 691 : -0.4514464 
logit RMSE 691 : 0.07043892 

boosting 691 : -0.4189589 
boosting mean 691 : -0.4416338 
boosting RMSE 691 : 0.147482 

forest 691 : -0.4027777 
forest mean 691 : -0.4067423 
forest RMSE 691 : 0.05902477 

nnet 691 : -0.4113515 
nnet mean 691 : -0.406973 
nnet RMSE 691 : 0.1426977 


s: 692 
logit 692 : -0.4223177 
logit mean 692 : -0.4514043 
logit RMSE 692 : 0.07039312 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 692 : -0.6643455 
boosting mean 692 : -0.4419556 
boosting RMSE 692 : 0.1477176 

forest 692 : -0.2580598 
forest mean 692 : -0.4065275 
forest RMSE 692 : 0.0592284 

nnet 692 : -0.5498711 
nnet mean 692 : -0.4071795 
nnet RMSE 692 : 0.1427083 


s: 693 
logit 693 : -0.500195 
logit mean 693 : -0.4514748 
logit RMSE 693 : 0.07044521 

boosting 693 : -0.5039976 
boosting mean 693 : -0.4420452 
boosting RMSE 693 : 0.1476638 

forest 693 : -0.3506733 
forest mean 693 : -0.4064469 
forest RMSE 693 : 0.05921531 

nnet 693 : -0.4380195 
nnet mean 693 : -0.407224 
nnet RMSE 693 : 0.1426126 


s: 694 
logit 694 : -0.377702 
logit mean 694 : -0.4513685 
logit RMSE 694 : 0.07039953 

boosting 694 : -0.4634288 
boosting mean 694 : -0.442076 
boosting RMSE 694 : 0.1475771 

forest 694 : -0.4384286 
forest mean 694 : -0.4064929 
forest RMSE 694 : 0.05919061 

nnet 694 : -0.5695382 
nnet mean 694 : -0.4074579 
nnet RMSE 694 : 0.1426551 


s: 695 
logit 695 : -0.4710821 
logit mean 695 : -0.4513968 
logit RMSE 695 : 0.07040051 

boosting 695 : -0.3765362 
boosting mean 695 : -0.4419817 
boosting RMSE 695 : 0.1474735 

forest 695 : -0.4042885 
forest mean 695 : -0.4064898 
forest RMSE 695 : 0.05914823 

nnet 695 : -0.2338204 
nnet mean 695 : -0.4072081 
nnet RMSE 695 : 0.1426917 


s: 696 
logit 696 : -0.5738727 
logit mean 696 : -0.4515728 
logit RMSE 696 : 0.07065796 

boosting 696 : -0.5101349 
boosting mean 696 : -0.4420796 
boosting RMSE 696 : 0.1474267 

forest 696 : -0.4591333 
forest mean 696 : -0.4065654 
forest RMSE 696 : 0.05914821 

nnet 696 : -0.5684956 
nnet mean 696 : -0.4074398 
nnet RMSE 696 : 0.1427321 


s: 697 
logit 697 : -0.4502096 
logit mean 697 : -0.4515708 
logit RMSE 697 : 0.07063287 

boosting 697 : -0.6484984 
boosting mean 697 : -0.4423757 
boosting RMSE 697 : 0.1476213 

forest 697 : -0.3772143 
forest mean 697 : -0.4065233 
forest RMSE 697 : 0.05911207 

nnet 697 : -0.5010356 
nnet mean 697 : -0.4075741 
nnet RMSE 697 : 0.1426810 


s: 698 
logit 698 : -0.4516022 
logit mean 698 : -0.4515709 
logit RMSE 698 : 0.07060927 

boosting 698 : -0.5419289 
boosting mean 698 : -0.4425184 
boosting RMSE 698 : 0.1476133 

forest 698 : -0.4226568 
forest mean 698 : -0.4065464 
forest RMSE 698 : 0.05907593 

nnet 698 : -0.4274195 
nnet mean 698 : -0.4076025 
nnet RMSE 698 : 0.1425826 


s: 699 
logit 699 : -0.3764543 
logit mean 699 : -0.4514634 
logit RMSE 699 : 0.07056437 

boosting 699 : -0.3964548 
boosting mean 699 : -0.4424525 
boosting RMSE 699 : 0.1475077 

forest 699 : -0.3579781 
forest mean 699 : -0.4064769 
forest RMSE 699 : 0.05905505 

nnet 699 : -0.2910144 
nnet mean 699 : -0.4074357 
nnet RMSE 699 : 0.1425401 


s: 700 
logit 700 : -0.3811832 
logit mean 700 : -0.451363 
logit RMSE 700 : 0.07051753 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 700 : -0.4319325 
boosting mean 700 : -0.4424374 
boosting RMSE 700 : 0.1474072 

forest 700 : -0.3651971 
forest mean 700 : -0.4064180 
forest RMSE 700 : 0.05902751 

nnet 700 : -0.4342717 
nnet mean 700 : -0.4074741 
nnet RMSE 700 : 0.1424442 


s: 701 
logit 701 : -0.4998199 
logit mean 701 : -0.4514321 
logit RMSE 701 : 0.070568 

boosting 701 : -0.6392508 
boosting mean 701 : -0.4427182 
boosting RMSE 701 : 0.1475790 

forest 701 : -0.407768 
forest mean 701 : -0.4064199 
forest RMSE 701 : 0.05898613 

nnet 701 : -0.5258848 
nnet mean 701 : -0.407643 
nnet RMSE 701 : 0.1424219 


s: 702 
logit 702 : -0.504567 
logit mean 702 : -0.4515078 
logit RMSE 702 : 0.07062807 

boosting 702 : -0.4655631 
boosting mean 702 : -0.4427507 
boosting RMSE 702 : 0.1474946 

forest 702 : -0.5198735 
forest mean 702 : -0.4065815 
forest RMSE 702 : 0.05911748 

nnet 702 : -0.5217591 
nnet mean 702 : -0.4078055 
nnet RMSE 702 : 0.1423946 


s: 703 
logit 703 : -0.4108359 
logit mean 703 : -0.45145 
logit RMSE 703 : 0.070579 

boosting 703 : -0.8594937 
boosting mean 703 : -0.4433435 
boosting RMSE 703 : 0.148405 

forest 703 : -0.52422 
forest mean 703 : -0.4067488 
forest RMSE 703 : 0.0592609 

nnet 703 : -0.3490955 
nnet mean 703 : -0.407722 
nnet RMSE 703 : 0.1423063 


s: 704 
logit 704 : -0.4782338 
logit mean 704 : -0.451488 
logit RMSE 704 : 0.07059047 

boosting 704 : -0.2599139 
boosting mean 704 : -0.443083 
boosting RMSE 704 : 0.1483935 

forest 704 : -0.4153156 
forest mean 704 : -0.406761 
forest RMSE 704 : 0.05922161 

nnet 704 : -0.4864127 
nnet mean 704 : -0.4078338 
nnet RMSE 704 : 0.1422425 


s: 705 
logit 705 : -0.4535668 
logit mean 705 : -0.451491 
logit RMSE 705 : 0.07056923 

boosting 705 : -0.4555481 
boosting mean 705 : -0.4431007 
boosting RMSE 705 : 0.1483030 

forest 705 : -0.3742752 
forest mean 705 : -0.4067149 
forest RMSE 705 : 0.05918753 

nnet 705 : -0.4725496 
nnet mean 705 : -0.4079256 
nnet RMSE 705 : 0.1421678 


s: 706 
logit 706 : -0.4301389 
logit mean 706 : -0.4514607 
logit RMSE 706 : 0.07052835 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 706 : -0.5209273 
boosting mean 706 : -0.4432109 
boosting RMSE 706 : 0.1482678 

forest 706 : -0.4714002 
forest mean 706 : -0.4068065 
forest RMSE 706 : 0.05920661 

nnet 706 : -0.325141 
nnet mean 706 : -0.4078083 
nnet RMSE 706 : 0.142095 


s: 707 
logit 707 : -0.3734458 
logit mean 707 : -0.4513504 
logit RMSE 707 : 0.07048553 

boosting 707 : -0.2897176 
boosting mean 707 : -0.4429938 
boosting RMSE 707 : 0.1482209 

forest 707 : -0.3795882 
forest mean 707 : -0.4067680 
forest RMSE 707 : 0.0591697 

nnet 707 : -0.4872664 
nnet mean 707 : -0.4079207 
nnet RMSE 707 : 0.1420324 


s: 708 
logit 708 : -0.4307675 
logit mean 708 : -0.4513213 
logit RMSE 708 : 0.07044523 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 708 : -0.2698079 
boosting mean 708 : -0.4427492 
boosting RMSE 708 : 0.148197 

forest 708 : -0.342083 
forest mean 708 : -0.4066767 
forest RMSE 708 : 0.05916795 

nnet 708 : -0.2424087 
nnet mean 708 : -0.4076869 
nnet RMSE 708 : 0.1420556 


s: 709 
logit 709 : -0.3874716 
logit mean 709 : -0.4512312 
logit RMSE 709 : 0.0703971 

boosting 709 : -0.3638084 
boosting mean 709 : -0.4426379 
boosting RMSE 709 : 0.1480987 

forest 709 : -0.4957028 
forest mean 709 : -0.4068023 
forest RMSE 709 : 0.05923535 

nnet 709 : -0.5008347 
nnet mean 709 : -0.4078183 
nnet RMSE 709 : 0.1420059 


s: 710 
logit 710 : -0.4289426 
logit mean 710 : -0.4511999 
logit RMSE 710 : 0.0703559 

boosting 710 : -0.5074856 
boosting mean 710 : -0.4427292 
boosting RMSE 710 : 0.1480493 

forest 710 : -0.4162979 
forest mean 710 : -0.4068156 
forest RMSE 710 : 0.05919678 

nnet 710 : -0.3010461 
nnet mean 710 : -0.4076679 
nnet RMSE 710 : 0.1419544 


s: 711 
logit 711 : -0.4490906 
logit mean 711 : -0.4511969 
logit RMSE 711 : 0.0703305 

boosting 711 : -0.402573 
boosting mean 711 : -0.4426727 
boosting RMSE 711 : 0.1479452 

forest 711 : -0.4439492 
forest mean 711 : -0.4068679 
forest RMSE 711 : 0.05917809 

nnet 711 : -0.4114018 
nnet mean 711 : -0.4076732 
nnet RMSE 711 : 0.1418552 


s: 712 
logit 712 : -0.4778369 
logit mean 712 : -0.4512343 
logit RMSE 712 : 0.0703416 

boosting 712 : -0.6995911 
boosting mean 712 : -0.4430336 
boosting RMSE 712 : 0.148267 

forest 712 : -0.3933005 
forest mean 712 : -0.4068488 
forest RMSE 712 : 0.05913705 

nnet 712 : -0.4507189 
nnet mean 712 : -0.4077336 
nnet RMSE 712 : 0.1417683 


s: 713 
logit 713 : -0.384693 
logit mean 713 : -0.451141 
logit RMSE 713 : 0.0702946 

boosting 713 : -0.2064361 
boosting mean 713 : -0.4427017 
boosting RMSE 713 : 0.1483402 

forest 713 : -0.3652248 
forest mean 713 : -0.4067904 
forest RMSE 713 : 0.05910992 

nnet 713 : -0.2773337 
nnet mean 713 : -0.4075508 
nnet RMSE 713 : 0.1417433 


s: 714 
logit 714 : -0.4313337 
logit mean 714 : -0.4511132 
logit RMSE 714 : 0.07025514 

boosting 714 : -0.3953202 
boosting mean 714 : -0.4426354 
boosting RMSE 714 : 0.1482364 

forest 714 : -0.5028333 
forest mean 714 : -0.4069249 
forest RMSE 714 : 0.05919374 

nnet 714 : -0.4739255 
nnet mean 714 : -0.4076437 
nnet RMSE 714 : 0.1416710 


s: 715 
logit 715 : -0.4134627 
logit mean 715 : -0.4510606 
logit RMSE 715 : 0.0702078 

boosting 715 : -0.320997 
boosting mean 715 : -0.4424652 
boosting RMSE 715 : 0.1481622 

forest 715 : -0.3878012 
forest mean 715 : -0.4068982 
forest RMSE 715 : 0.0591541 

nnet 715 : -0.2468366 
nnet mean 715 : -0.4074188 
nnet RMSE 715 : 0.1416877 


s: 716 
logit 716 : -0.5359385 
logit mean 716 : -0.4511791 
logit RMSE 716 : 0.07034245 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 716 : -0.4407391 
boosting mean 716 : -0.4424628 
boosting RMSE 716 : 0.1480665 

forest 716 : -0.4377127 
forest mean 716 : -0.4069412 
forest RMSE 716 : 0.05912957 

nnet 716 : -0.3418441 
nnet mean 716 : -0.4073272 
nnet RMSE 716 : 0.1416054 


s: 717 
logit 717 : -0.4232007 
logit mean 717 : -0.4511401 
logit RMSE 717 : 0.07029872 

boosting 717 : -0.3264518 
boosting mean 717 : -0.442301 
boosting RMSE 717 : 0.1479887 

forest 717 : -0.3763491 
forest mean 717 : -0.4068986 
forest RMSE 717 : 0.05909492 

nnet 717 : -0.1619834 
nnet mean 717 : -0.4069851 
nnet RMSE 717 : 0.1417856 


s: 718 
logit 718 : -0.4333344 
logit mean 718 : -0.4511153 
logit RMSE 718 : 0.07026076 

boosting 718 : -0.2293867 
boosting mean 718 : -0.4420045 
boosting RMSE 718 : 0.1480226 

forest 718 : -0.3977956 
forest mean 718 : -0.4068859 
forest RMSE 718 : 0.05905381 

nnet 718 : -0.4888684 
nnet mean 718 : -0.4070991 
nnet RMSE 718 : 0.1417256 


s: 719 
logit 719 : -0.4257392 
logit mean 719 : -0.45108 
logit RMSE 719 : 0.07021844 

boosting 719 : -0.4125719 
boosting mean 719 : -0.4419635 
boosting RMSE 719 : 0.1479204 

forest 719 : -0.3646109 
forest mean 719 : -0.4068271 
forest RMSE 719 : 0.05902749 

nnet 719 : -0.6642078 
nnet mean 719 : -0.4074567 
nnet RMSE 719 : 0.1419694 


s: 720 
logit 720 : -0.3922535 
logit mean 720 : -0.4509983 
logit RMSE 720 : 0.07017026 

boosting 720 : -0.3848505 
boosting mean 720 : -0.4418842 
boosting RMSE 720 : 0.1478187 

forest 720 : -0.3661162 
forest mean 720 : -0.4067705 
forest RMSE 720 : 0.059 

nnet 720 : -0.4454685 
nnet mean 720 : -0.4075095 
nnet RMSE 720 : 0.1418809 


s: 721 
logit 721 : -0.5582192 
logit mean 721 : -0.451147 
logit RMSE 721 : 0.07036872 

boosting 721 : -0.6485604 
boosting mean 721 : -0.4421709 
boosting RMSE 721 : 0.1480059 

forest 721 : -0.3304184 
forest mean 721 : -0.4066646 
forest RMSE 721 : 0.05901599 

nnet 721 : -0.3936215 
nnet mean 721 : -0.4074902 
nnet RMSE 721 : 0.1417826 


s: 722 
logit 722 : -0.3664293 
logit mean 722 : -0.4510297 
logit RMSE 722 : 0.07033107 

boosting 722 : -0.5533373 
boosting mean 722 : -0.4423248 
boosting RMSE 722 : 0.1480134 

forest 722 : -0.5635169 
forest mean 722 : -0.4068819 
forest RMSE 722 : 0.05928825 

nnet 722 : -0.6270263 
nnet mean 722 : -0.4077943 
nnet RMSE 722 : 0.1419361 


s: 723 
logit 723 : -0.4329006 
logit mean 723 : -0.4510046 
logit RMSE 723 : 0.07029306 

boosting 723 : -0.3500846 
boosting mean 723 : -0.4421973 
boosting RMSE 723 : 0.1479227 

forest 723 : -0.4506317 
forest mean 723 : -0.4069424 
forest RMSE 723 : 0.05927715 

nnet 723 : -0.4953346 
nnet mean 723 : -0.4079154 
nnet RMSE 723 : 0.1418822 


s: 724 
logit 724 : -0.457086 
logit mean 724 : -0.451013 
logit RMSE 724 : 0.07027653 

boosting 724 : -0.3015127 
boosting mean 724 : -0.4420030 
boosting RMSE 724 : 0.1478658 

forest 724 : -0.3119572 
forest mean 724 : -0.4068112 
forest RMSE 724 : 0.0593265 

nnet 724 : -0.2201449 
nnet mean 724 : -0.407656 
nnet RMSE 724 : 0.1419417 


s: 725 
logit 725 : -0.4070479 
logit mean 725 : -0.4509524 
logit RMSE 725 : 0.07022853 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 725 : -0.679163 
boosting mean 725 : -0.4423301 
boosting RMSE 725 : 0.1481271 

forest 725 : -0.4766892 
forest mean 725 : -0.4069076 
forest RMSE 725 : 0.05935394 

nnet 725 : -0.5184847 
nnet mean 725 : -0.4078089 
nnet RMSE 725 : 0.141912 


s: 726 
logit 726 : -0.4531633 
logit mean 726 : -0.4509554 
logit RMSE 726 : 0.07020788 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 726 : -0.3407996 
boosting mean 726 : -0.4421902 
boosting RMSE 726 : 0.1480413 

forest 726 : -0.3655137 
forest mean 726 : -0.4068506 
forest RMSE 726 : 0.05932686 

nnet 726 : -0.3588812 
nnet mean 726 : -0.4077415 
nnet RMSE 726 : 0.1418224 


s: 727 
logit 727 : -0.4936827 
logit mean 727 : -0.4510142 
logit RMSE 727 : 0.07024556 

boosting 727 : -0.4787593 
boosting mean 727 : -0.4422405 
boosting RMSE 727 : 0.1479683 

forest 727 : -0.4150246 
forest mean 727 : -0.4068618 
forest RMSE 727 : 0.05928866 

nnet 727 : -0.8544628 
nnet mean 727 : -0.408356 
nnet RMSE 727 : 0.1427236 


s: 728 
logit 728 : -0.5067787 
logit mean 728 : -0.4510908 
logit RMSE 728 : 0.07030876 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 728 : -0.424265 
boosting mean 728 : -0.4422158 
boosting RMSE 728 : 0.1478694 

forest 728 : -0.379642 
forest mean 728 : -0.4068244 
forest RMSE 728 : 0.05925273 

nnet 728 : -0.3531727 
nnet mean 728 : -0.4082802 
nnet RMSE 728 : 0.1426361 


s: 729 
logit 729 : -0.435427 
logit mean 729 : -0.4510693 
logit RMSE 729 : 0.07027278 

boosting 729 : -0.3289139 
boosting mean 729 : -0.4420604 
boosting RMSE 729 : 0.1477914 

forest 729 : -0.3778972 
forest mean 729 : -0.4067847 
forest RMSE 729 : 0.05921774 

nnet 729 : -0.1120962 
nnet mean 729 : -0.4078739 
nnet RMSE 729 : 0.1429365 


s: 730 
logit 730 : -0.4844 
logit mean 730 : -0.4511150 
logit RMSE 730 : 0.07029407 

boosting 730 : -0.3685878 
boosting mean 730 : -0.4419598 
boosting RMSE 730 : 0.1476947 

forest 730 : -0.3879630 
forest mean 730 : -0.406759 
forest RMSE 730 : 0.05917884 

nnet 730 : -0.4312109 
nnet mean 730 : -0.4079058 
nnet RMSE 730 : 0.1428433 


s: 731 
logit 731 : -0.4822551 
logit mean 731 : -0.4511576 
logit RMSE 731 : 0.07031182 

boosting 731 : -0.6713798 
boosting mean 731 : -0.4422736 
boosting RMSE 731 : 0.1479346 

forest 731 : -0.4418535 
forest mean 731 : -0.406807 
forest RMSE 731 : 0.0591586 

nnet 731 : -0.5292361 
nnet mean 731 : -0.4080718 
nnet RMSE 731 : 0.1428256 


s: 732 
logit 732 : -0.4242618 
logit mean 732 : -0.4511208 
logit RMSE 732 : 0.0702695 

boosting 732 : -0.6121391 
boosting mean 732 : -0.4425057 
boosting RMSE 732 : 0.1480413 

forest 732 : -0.5728015 
forest mean 732 : -0.4070337 
forest RMSE 732 : 0.05946219 

nnet 732 : -0.4966297 
nnet mean 732 : -0.4081928 
nnet RMSE 732 : 0.1427726 


s: 733 
logit 733 : -0.4672458 
logit mean 733 : -0.4511428 
logit RMSE 733 : 0.07026546 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 733 : -0.1217599 
boosting mean 733 : -0.4420681 
boosting RMSE 733 : 0.1482968 

forest 733 : -0.3980471 
forest mean 733 : -0.4070215 
forest RMSE 733 : 0.05942166 

nnet 733 : -0.3524767 
nnet mean 733 : -0.4081168 
nnet RMSE 733 : 0.142686 


s: 734 
logit 734 : -0.4790796 
logit mean 734 : -0.4511809 
logit RMSE 734 : 0.07027822 

boosting 734 : -0.4879222 
boosting mean 734 : -0.4421306 
boosting RMSE 734 : 0.1482313 

forest 734 : -0.3368115 
forest mean 734 : -0.4069258 
forest RMSE 734 : 0.05942696 

nnet 734 : -0.4519253 
nnet mean 734 : -0.4081765 
nnet RMSE 734 : 0.1426017 


s: 735 
logit 735 : -0.4899002 
logit mean 735 : -0.4512335 
logit RMSE 735 : 0.07030864 

boosting 735 : -0.7889923 
boosting mean 735 : -0.4426025 
boosting RMSE 735 : 0.1488237 

forest 735 : -0.4155627 
forest mean 735 : -0.4069376 
forest RMSE 735 : 0.05938929 

nnet 735 : -0.4341745 
nnet mean 735 : -0.4082118 
nnet RMSE 735 : 0.1425102 


s: 736 
logit 736 : -0.4371173 
logit mean 736 : -0.4512144 
logit RMSE 736 : 0.07027418 

boosting 736 : -0.4764212 
boosting mean 736 : -0.4426484 
boosting RMSE 736 : 0.1487492 

forest 736 : -0.4778395 
forest mean 736 : -0.4070339 
forest RMSE 736 : 0.05941824 

nnet 736 : -0.3617790 
nnet mean 736 : -0.4081488 
nnet RMSE 736 : 0.1424203 


s: 737 
logit 737 : -0.419745 
logit mean 737 : -0.4511717 
logit RMSE 737 : 0.07023026 

boosting 737 : -0.3413215 
boosting mean 737 : -0.4425109 
boosting RMSE 737 : 0.1486640 

forest 737 : -0.3947189 
forest mean 737 : -0.4070172 
forest RMSE 737 : 0.05937824 

nnet 737 : -0.1171444 
nnet mean 737 : -0.4077539 
nnet RMSE 737 : 0.1427045 


s: 738 
logit 738 : -0.3864977 
logit mean 738 : -0.451084 
logit RMSE 738 : 0.07018442 

boosting 738 : -0.459622 
boosting mean 738 : -0.4425341 
boosting RMSE 738 : 0.1485794 

forest 738 : -0.4958422 
forest mean 738 : -0.4071376 
forest RMSE 738 : 0.05944278 

nnet 738 : -0.620218 
nnet mean 738 : -0.4080418 
nnet RMSE 738 : 0.1428380 


s: 739 
logit 739 : -0.4797035 
logit mean 739 : -0.4511228 
logit RMSE 739 : 0.07019817 

boosting 739 : -0.3136179 
boosting mean 739 : -0.4423597 
boosting RMSE 739 : 0.1485129 

forest 739 : -0.4337843 
forest mean 739 : -0.4071736 
forest RMSE 739 : 0.05941555 

nnet 739 : -0.5359452 
nnet mean 739 : -0.4082149 
nnet RMSE 739 : 0.1428289 


s: 740 
logit 740 : -0.4630119 
logit mean 740 : -0.4511388 
logit RMSE 740 : 0.07018896 

boosting 740 : -0.3033587 
boosting mean 740 : -0.4421718 
boosting RMSE 740 : 0.148455 

forest 740 : -0.3354156 
forest mean 740 : -0.4070766 
forest RMSE 740 : 0.05942284 

nnet 740 : -0.08517047 
nnet mean 740 : -0.4077783 
nnet RMSE 740 : 0.1432008 


s: 741 
logit 741 : -0.4937469 
logit mean 741 : -0.4511963 
logit RMSE 741 : 0.07022607 

boosting 741 : -0.4397889 
boosting mean 741 : -0.4421686 
boosting RMSE 741 : 0.1483620 

forest 741 : -0.4623287 
forest mean 741 : -0.4071512 
forest RMSE 741 : 0.05942686 

nnet 741 : -0.4524978 
nnet mean 741 : -0.4078387 
nnet RMSE 741 : 0.1431172 


s: 742 
logit 742 : -0.4624478 
logit mean 742 : -0.4512115 
logit RMSE 742 : 0.07021617 

boosting 742 : -0.2063772 
boosting mean 742 : -0.4418508 
boosting RMSE 742 : 0.1484323 

forest 742 : -0.3836704 
forest mean 742 : -0.4071196 
forest RMSE 742 : 0.05938982 

nnet 742 : -0.3486893 
nnet mean 742 : -0.407759 
nnet RMSE 742 : 0.1430331 


s: 743 
logit 743 : -0.5318649 
logit mean 743 : -0.4513200 
logit RMSE 743 : 0.07033547 

boosting 743 : -0.3494114 
boosting mean 743 : -0.4417264 
boosting RMSE 743 : 0.1483440 

forest 743 : -0.3842765 
forest mean 743 : -0.4070888 
forest RMSE 743 : 0.05935265 

nnet 743 : -0.4336622 
nnet mean 743 : -0.4077938 
nnet RMSE 743 : 0.1429421 


s: 744 
logit 744 : -0.4570885 
logit mean 744 : -0.4513278 
logit RMSE 744 : 0.07031934 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 744 : -0.4039741 
boosting mean 744 : -0.4416757 
boosting RMSE 744 : 0.1482443 

forest 744 : -0.4278509 
forest mean 744 : -0.4071167 
forest RMSE 744 : 0.05932153 

nnet 744 : -0.3137149 
nnet mean 744 : -0.4076674 
nnet RMSE 744 : 0.1428811 


s: 745 
logit 745 : -0.4388193 
logit mean 745 : -0.451311 
logit RMSE 745 : 0.07028652 

boosting 745 : -0.3421072 
boosting mean 745 : -0.441542 
boosting RMSE 745 : 0.1481600 

forest 745 : -0.3527191 
forest mean 745 : -0.4070437 
forest RMSE 745 : 0.05930701 

nnet 745 : -0.1379339 
nnet mean 745 : -0.4073053 
nnet RMSE 745 : 0.1431076 


s: 746 
logit 746 : -0.4877183 
logit mean 746 : -0.4513598 
logit RMSE 746 : 0.07031278 

boosting 746 : -0.4068227 
boosting mean 746 : -0.4414955 
boosting RMSE 746 : 0.1480608 

forest 746 : -0.5059629 
forest mean 746 : -0.4071763 
forest RMSE 746 : 0.05939409 

nnet 746 : -0.4578588 
nnet mean 746 : -0.4073731 
nnet RMSE 746 : 0.1430273 


s: 747 
logit 747 : -0.5112443 
logit mean 747 : -0.45144 
logit RMSE 747 : 0.07038348 

boosting 747 : -0.4472318 
boosting mean 747 : -0.4415032 
boosting RMSE 747 : 0.1479718 

forest 747 : -0.3932076 
forest mean 747 : -0.4071576 
forest RMSE 747 : 0.05935484 

nnet 747 : -0.2991782 
nnet mean 747 : -0.4072282 
nnet RMSE 747 : 0.1429792 


s: 748 
logit 748 : -0.4021898 
logit mean 748 : -0.4513741 
logit RMSE 748 : 0.07033647 

boosting 748 : -0.4319332 
boosting mean 748 : -0.4414904 
boosting RMSE 748 : 0.1478775 

forest 748 : -0.468505 
forest mean 748 : -0.4072396 
forest RMSE 748 : 0.05936801 

nnet 748 : -0.585678 
nnet mean 748 : -0.4074668 
nnet RMSE 748 : 0.1430448 


s: 749 
logit 749 : -0.4932565 
logit mean 749 : -0.4514301 
logit RMSE 749 : 0.07037204 

boosting 749 : -0.6667415 
boosting mean 749 : -0.4417911 
boosting RMSE 749 : 0.1480998 

forest 749 : -0.4249008 
forest mean 749 : -0.4072632 
forest RMSE 749 : 0.05933535 

nnet 749 : -0.3744442 
nnet mean 749 : -0.4074227 
nnet RMSE 749 : 0.1429523 


s: 750 
logit 750 : -0.4703622 
logit mean 750 : -0.4514553 
logit RMSE 750 : 0.07037203 

boosting 750 : -0.4618745 
boosting mean 750 : -0.4418179 
boosting RMSE 750 : 0.1480182 

forest 750 : -0.3263875 
forest mean 750 : -0.4071554 
forest RMSE 750 : 0.05935667 

nnet 750 : -0.2730048 
nnet mean 750 : -0.4072435 
nnet RMSE 750 : 0.1429322 


s: 751 
logit 751 : -0.4296725 
logit mean 751 : -0.4514263 
logit RMSE 751 : 0.0703335 

boosting 751 : -0.5130032 
boosting mean 751 : -0.4419127 
boosting RMSE 751 : 0.1479771 

forest 751 : -0.4382123 
forest mean 751 : -0.4071967 
forest RMSE 751 : 0.05933352 

nnet 751 : -0.2857947 
nnet mean 751 : -0.4070818 
nnet RMSE 751 : 0.1428978 


s: 752 
logit 752 : -0.4169685 
logit mean 752 : -0.4513805 
logit RMSE 752 : 0.07028944 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 752 : -0.5189823 
boosting mean 752 : -0.4420152 
boosting RMSE 752 : 0.1479423 

forest 752 : -0.417721 
forest mean 752 : -0.4072107 
forest RMSE 752 : 0.05929758 

nnet 752 : -0.09961692 
nnet mean 752 : -0.4066729 
nnet RMSE 752 : 0.1432222 


s: 753 
logit 753 : -0.4625047 
logit mean 753 : -0.4513952 
logit RMSE 753 : 0.07027968 

boosting 753 : -0.4924198 
boosting mean 753 : -0.4420821 
boosting RMSE 753 : 0.1478824 

forest 753 : -0.3535784 
forest mean 753 : -0.4071395 
forest RMSE 753 : 0.05928234 

nnet 753 : -0.2185400 
nnet mean 753 : -0.4064231 
nnet RMSE 753 : 0.1432798 


s: 754 
logit 754 : -0.4618165 
logit mean 754 : -0.4514091 
logit RMSE 754 : 0.07026913 

boosting 754 : -0.5322344 
boosting mean 754 : -0.4422017 
boosting RMSE 754 : 0.1478628 

forest 754 : -0.4808294 
forest mean 754 : -0.4072372 
forest RMSE 754 : 0.0593161 

nnet 754 : -0.7282879 
nnet mean 754 : -0.4068500 
nnet RMSE 754 : 0.143683 


s: 755 
logit 755 : -0.4505387 
logit mean 755 : -0.4514079 
logit RMSE 755 : 0.07024666 

boosting 755 : -0.2560142 
boosting mean 755 : -0.4419551 
boosting RMSE 755 : 0.1478577 

forest 755 : -0.3685479 
forest mean 755 : -0.407186 
forest RMSE 755 : 0.05928785 

nnet 755 : -0.2269994 
nnet mean 755 : -0.4066117 
nnet RMSE 755 : 0.1437258 


s: 756 
logit 756 : -0.4514067 
logit mean 756 : -0.4514079 
logit RMSE 756 : 0.07022508 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 756 : -0.6602821 
boosting mean 756 : -0.4422439 
boosting RMSE 756 : 0.1480628 

forest 756 : -0.3637437 
forest mean 756 : -0.4071285 
forest RMSE 756 : 0.0592633 

nnet 756 : -0.5406146 
nnet mean 756 : -0.406789 
nnet RMSE 756 : 0.1437217 


s: 757 
logit 757 : -0.448667 
logit mean 757 : -0.4514043 
logit RMSE 757 : 0.07020097 

boosting 757 : -0.3039278 
boosting mean 757 : -0.4420611 
boosting RMSE 757 : 0.1480062 

forest 757 : -0.3798856 
forest mean 757 : -0.4070925 
forest RMSE 757 : 0.05922866 

nnet 757 : -0.4097528 
nnet mean 757 : -0.4067929 
nnet RMSE 757 : 0.1436272 


s: 758 
logit 758 : -0.4009397 
logit mean 758 : -0.4513377 
logit RMSE 758 : 0.07015465 

boosting 758 : -0.4670226 
boosting mean 758 : -0.4420941 
boosting RMSE 758 : 0.1479285 

forest 758 : -0.3539464 
forest mean 758 : -0.4070224 
forest RMSE 758 : 0.0592132 

nnet 758 : -0.4278659 
nnet mean 758 : -0.4068207 
nnet RMSE 758 : 0.1435360 


s: 759 
logit 759 : -0.4440776 
logit mean 759 : -0.4513281 
logit RMSE 759 : 0.07012667 

boosting 759 : -0.4927661 
boosting mean 759 : -0.4421608 
boosting RMSE 759 : 0.1478694 

forest 759 : -0.372974 
forest mean 759 : -0.4069776 
forest RMSE 759 : 0.05918232 

nnet 759 : -0.5446389 
nnet mean 759 : -0.4070023 
nnet RMSE 759 : 0.1435374 


s: 760 
logit 760 : -0.5676381 
logit mean 760 : -0.4514812 
logit RMSE 760 : 0.07034385 

boosting 760 : -0.6297464 
boosting mean 760 : -0.4424077 
boosting RMSE 760 : 0.1480069 

forest 760 : -0.4370869 
forest mean 760 : -0.4070172 
forest RMSE 760 : 0.05915867 

nnet 760 : -0.2319055 
nnet mean 760 : -0.4067719 
nnet RMSE 760 : 0.1435725 


s: 761 
logit 761 : -0.4074301 
logit mean 761 : -0.4514233 
logit RMSE 761 : 0.07029813 

boosting 761 : -0.6074724 
boosting mean 761 : -0.4426246 
boosting RMSE 761 : 0.1481007 

forest 761 : -0.4740162 
forest mean 761 : -0.4071052 
forest RMSE 761 : 0.05918064 

nnet 761 : -0.2876854 
nnet mean 761 : -0.4066154 
nnet RMSE 761 : 0.1435359 


s: 762 
logit 762 : -0.4046837 
logit mean 762 : -0.451362 
logit RMSE 762 : 0.07025219 

boosting 762 : -0.6397358 
boosting mean 762 : -0.4428832 
boosting RMSE 762 : 0.1482581 

forest 762 : -0.4749914 
forest mean 762 : -0.4071943 
forest RMSE 762 : 0.05920415 

nnet 762 : -0.3298225 
nnet mean 762 : -0.4065146 
nnet RMSE 762 : 0.1434642 


s: 763 
logit 763 : -0.3932078 
logit mean 763 : -0.4512857 
logit RMSE 763 : 0.07020657 

boosting 763 : -0.6185355 
boosting mean 763 : -0.4431135 
boosting RMSE 763 : 0.1483720 

forest 763 : -0.4328909 
forest mean 763 : -0.407228 
forest RMSE 763 : 0.05917732 

nnet 763 : -0.454409 
nnet mean 763 : -0.4065774 
nnet RMSE 763 : 0.1433837 


s: 764 
logit 764 : -0.4133748 
logit mean 764 : -0.4512361 
logit RMSE 764 : 0.07016228 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 764 : -0.4734027 
boosting mean 764 : -0.4431531 
boosting RMSE 764 : 0.1482986 

forest 764 : -0.3703223 
forest mean 764 : -0.4071797 
forest RMSE 764 : 0.05914833 

nnet 764 : -0.1743733 
nnet mean 764 : -0.4062735 
nnet RMSE 764 : 0.1435222 


s: 765 
logit 765 : -0.4248795 
logit mean 765 : -0.4512017 
logit RMSE 765 : 0.07012217 

boosting 765 : -0.3966991 
boosting mean 765 : -0.4430924 
boosting RMSE 765 : 0.1482017 

forest 765 : -0.3661673 
forest mean 765 : -0.4071261 
forest RMSE 765 : 0.05912231 

nnet 765 : -0.4059744 
nnet mean 765 : -0.4062731 
nnet RMSE 765 : 0.1434285 


s: 766 
logit 766 : -0.440826 
logit mean 766 : -0.4511881 
logit RMSE 766 : 0.07009191 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 766 : -0.4522043 
boosting mean 766 : -0.4431043 
boosting RMSE 766 : 0.1481170 

forest 766 : -0.3576878 
forest mean 766 : -0.4070615 
forest RMSE 766 : 0.05910348 

nnet 766 : -0.2731081 
nnet mean 766 : -0.4060992 
nnet RMSE 766 : 0.1434081 


s: 767 
logit 767 : -0.4523504 
logit mean 767 : -0.4511896 
logit RMSE 767 : 0.0700717 

boosting 767 : -0.3113683 
boosting mean 767 : -0.4429325 
boosting RMSE 767 : 0.1480550 

forest 767 : -0.2787952 
forest mean 767 : -0.4068943 
forest RMSE 767 : 0.05922686 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Warning in MatchLoopCfast(N = s1$N, xvars = Kx, All = s1$All, M = s1$M,  :
  Increasing memory because of ties.  I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.
Warning in MatchLoopCfast(N = s1$N, xvars = Kx, All = s1$All, M = s1$M,  :
  Increasing memory because of ties.  I would be faster with the ties=FALSE option.

nnet 767 : -0.2496505 
nnet mean 767 : -0.4058953 
nnet RMSE 767 : 0.1434174 


s: 768 
logit 768 : -0.4448406 
logit mean 768 : -0.4511814 
logit RMSE 768 : 0.07004476 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 768 : -0.8280675 
boosting mean 768 : -0.443434 
boosting RMSE 768 : 0.1487627 

forest 768 : -0.4049174 
forest mean 768 : -0.4068917 
forest RMSE 768 : 0.05918855 

nnet 768 : -0.2789285 
nnet mean 768 : -0.4057299 
nnet RMSE 768 : 0.1433906 


s: 769 
logit 769 : -0.4648708 
logit mean 769 : -0.4511992 
logit RMSE 769 : 0.07003828 

boosting 769 : -0.5089747 
boosting mean 769 : -0.4435192 
boosting RMSE 769 : 0.1487178 

forest 769 : -0.3989339 
forest mean 769 : -0.4068814 
forest RMSE 769 : 0.05915007 

nnet 769 : -0.5918621 
nnet mean 769 : -0.405972 
nnet RMSE 769 : 0.1434642 


s: 770 
logit 770 : -0.5329768 
logit mean 770 : -0.4513054 
logit RMSE 770 : 0.07015665 

boosting 770 : -0.5976347 
boosting mean 770 : -0.4437194 
boosting RMSE 770 : 0.1487918 

forest 770 : -0.414686 
forest mean 770 : -0.4068915 
forest RMSE 770 : 0.05911402 

nnet 770 : -0.3277394 
nnet mean 770 : -0.4058704 
nnet RMSE 770 : 0.1433947 


s: 771 
logit 771 : -0.3725411 
logit mean 771 : -0.4512032 
logit RMSE 771 : 0.07011811 

boosting 771 : -0.5491711 
boosting mean 771 : -0.4438561 
boosting RMSE 771 : 0.1487923 

forest 771 : -0.34596 
forest mean 771 : -0.4068125 
forest RMSE 771 : 0.05910772 

nnet 771 : -0.5976591 
nnet mean 771 : -0.4061191 
nnet RMSE 771 : 0.1434784 


s: 772 
logit 772 : -0.5360088 
logit mean 772 : -0.4513131 
logit RMSE 772 : 0.07024345 

boosting 772 : -0.293757 
boosting mean 772 : -0.4436617 
boosting RMSE 772 : 0.1487450 

forest 772 : -0.4383121 
forest mean 772 : -0.4068533 
forest RMSE 772 : 0.05908551 

nnet 772 : -0.5697034 
nnet mean 772 : -0.406331 
nnet RMSE 772 : 0.1435154 


s: 773 
logit 773 : -0.5785943 
logit mean 773 : -0.4514777 
logit RMSE 773 : 0.07049129 

boosting 773 : -0.3781531 
boosting mean 773 : -0.443577 
boosting RMSE 773 : 0.1486509 

forest 773 : -0.4103399 
forest mean 773 : -0.4068578 
forest RMSE 773 : 0.05904845 

nnet 773 : -0.3719773 
nnet mean 773 : -0.4062866 
nnet RMSE 773 : 0.1434261 


s: 774 
logit 774 : -0.4176634 
logit mean 774 : -0.4514340 
logit RMSE 774 : 0.0704486 

boosting 774 : -0.5481652 
boosting mean 774 : -0.4437121 
boosting RMSE 774 : 0.1486502 

forest 774 : -0.3537874 
forest mean 774 : -0.4067892 
forest RMSE 774 : 0.05903367 

nnet 774 : -0.4675724 
nnet mean 774 : -0.4063658 
nnet RMSE 774 : 0.1433540 


s: 775 
logit 775 : -0.4627026 
logit mean 775 : -0.4514486 
logit RMSE 775 : 0.07043915 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 775 : -0.2048804 
boosting mean 775 : -0.4434039 
boosting RMSE 775 : 0.1487196 

forest 775 : -0.2907699 
forest mean 775 : -0.4066395 
forest RMSE 775 : 0.05912591 

nnet 775 : -0.2041063 
nnet mean 775 : -0.4061048 
nnet RMSE 775 : 0.1434342 


s: 776 
logit 776 : -0.375335 
logit mean 776 : -0.4513505 
logit RMSE 776 : 0.07039932 

boosting 776 : -0.3516226 
boosting mean 776 : -0.4432857 
boosting RMSE 776 : 0.1486338 

forest 776 : -0.4715685 
forest mean 776 : -0.4067232 
forest RMSE 776 : 0.05914362 

nnet 776 : 0.08714923 
nnet mean 776 : -0.4054692 
nnet RMSE 776 : 0.1444046 


s: 777 
logit 777 : -0.4599576 
logit mean 777 : -0.4513616 
logit RMSE 777 : 0.07038687 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 777 : -0.5954285 
boosting mean 777 : -0.4434815 
boosting RMSE 777 : 0.1487035 

forest 777 : -0.4278484 
forest mean 777 : -0.4067504 
forest RMSE 777 : 0.059114 

nnet 777 : -0.2604466 
nnet mean 777 : -0.4052825 
nnet RMSE 777 : 0.1443984 


s: 778 
logit 778 : -0.4717536 
logit mean 778 : -0.4513878 
logit RMSE 778 : 0.07038865 

boosting 778 : -0.3810076 
boosting mean 778 : -0.4434012 
boosting RMSE 778 : 0.1486095 

forest 778 : -0.4430451 
forest mean 778 : -0.406797 
forest RMSE 778 : 0.05909615 

nnet 778 : -0.2726779 
nnet mean 778 : -0.4051121 
nnet RMSE 778 : 0.1443778 


s: 779 
logit 779 : -0.4576598 
logit mean 779 : -0.4513958 
logit RMSE 779 : 0.07037378 

boosting 779 : -0.5397635 
boosting mean 779 : -0.4435249 
boosting RMSE 779 : 0.1485985 

forest 779 : -0.4220349 
forest mean 779 : -0.4068166 
forest RMSE 779 : 0.05906348 

nnet 779 : -0.4506307 
nnet mean 779 : -0.4051705 
nnet RMSE 779 : 0.1442965 


s: 780 
logit 780 : -0.5077344 
logit mean 780 : -0.4514681 
logit RMSE 780 : 0.07043437 

boosting 780 : -0.4908442 
boosting mean 780 : -0.4435855 
boosting RMSE 780 : 0.1485388 

forest 780 : -0.4374201 
forest mean 780 : -0.4068558 
forest RMSE 780 : 0.05904081 

nnet 780 : -0.4410124 
nnet mean 780 : -0.4052164 
nnet RMSE 780 : 0.1442114 


s: 781 
logit 781 : -0.5104205 
logit mean 781 : -0.4515436 
logit RMSE 781 : 0.07050007 

boosting 781 : -0.6571676 
boosting mean 781 : -0.443859 
boosting RMSE 781 : 0.1487286 

forest 781 : -0.5993494 
forest mean 781 : -0.4071023 
forest RMSE 781 : 0.05943263 

nnet 781 : -0.8158547 
nnet mean 781 : -0.4057422 
nnet RMSE 781 : 0.1448853 


s: 782 
logit 782 : -0.4754267 
logit mean 782 : -0.4515741 
logit RMSE 782 : 0.07050659 

boosting 782 : -0.4704175 
boosting mean 782 : -0.443893 
boosting RMSE 782 : 0.1486548 

forest 782 : -0.3509091 
forest mean 782 : -0.4070304 
forest RMSE 782 : 0.05942056 

nnet 782 : -0.5605743 
nnet mean 782 : -0.4059402 
nnet RMSE 782 : 0.1449064 


s: 783 
logit 783 : -0.4368894 
logit mean 783 : -0.4515553 
logit RMSE 783 : 0.07047389 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 783 : -0.6117941 
boosting mean 783 : -0.4441074 
boosting RMSE 783 : 0.1487526 

forest 783 : -0.5424192 
forest mean 783 : -0.4072034 
forest RMSE 783 : 0.05960032 

nnet 783 : -0.6090744 
nnet mean 783 : -0.4061997 
nnet RMSE 783 : 0.1450065 


s: 784 
logit 784 : -0.4229004 
logit mean 784 : -0.4515188 
logit RMSE 784 : 0.07043367 

boosting 784 : -0.4374097 
boosting mean 784 : -0.4440988 
boosting RMSE 784 : 0.1486637 

forest 784 : -0.3833193 
forest mean 784 : -0.4071729 
forest RMSE 784 : 0.05956527 

nnet 784 : -0.4330397 
nnet mean 784 : -0.4062339 
nnet RMSE 784 : 0.1449188 


s: 785 
logit 785 : -0.4315599 
logit mean 785 : -0.4514934 
logit RMSE 785 : 0.07039781 

boosting 785 : -0.5435005 
boosting mean 785 : -0.4442255 
boosting RMSE 785 : 0.1486572 

forest 785 : -0.4982887 
forest mean 785 : -0.407289 
forest RMSE 785 : 0.0596306 

nnet 785 : -0.4188146 
nnet mean 785 : -0.4062499 
nnet RMSE 785 : 0.1448280 


s: 786 
logit 786 : -0.4915089 
logit mean 786 : -0.4515443 
logit RMSE 786 : 0.07042869 

boosting 786 : -0.3722728 
boosting mean 786 : -0.4441339 
boosting RMSE 786 : 0.1485659 

forest 786 : -0.4069638 
forest mean 786 : -0.4072885 
forest RMSE 786 : 0.05959318 

nnet 786 : -0.6443914 
nnet mean 786 : -0.4065529 
nnet RMSE 786 : 0.1449981 


s: 787 
logit 787 : -0.3916698 
logit mean 787 : -0.4514682 
logit RMSE 787 : 0.07038456 

boosting 787 : -0.4196255 
boosting mean 787 : -0.4441028 
boosting RMSE 787 : 0.1484731 

forest 787 : -0.3984175 
forest mean 787 : -0.4072773 
forest RMSE 787 : 0.05955533 

nnet 787 : -0.812859 
nnet mean 787 : -0.4070692 
nnet RMSE 787 : 0.1456514 


s: 788 
logit 788 : -0.4769132 
logit mean 788 : -0.4515005 
logit RMSE 788 : 0.07039323 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 788 : -0.6828957 
boosting mean 788 : -0.4444058 
boosting RMSE 788 : 0.1487207 

forest 788 : -0.4828308 
forest mean 788 : -0.4073732 
forest RMSE 788 : 0.05959063 

nnet 788 : -0.6596969 
nnet mean 788 : -0.4073898 
nnet RMSE 788 : 0.1458526 


s: 789 
logit 789 : -0.4170091 
logit mean 789 : -0.4514568 
logit RMSE 789 : 0.07035121 

boosting 789 : -0.2988804 
boosting mean 789 : -0.4442214 
boosting RMSE 789 : 0.1486701 

forest 789 : -0.4188006 
forest mean 789 : -0.4073876 
forest RMSE 789 : 0.05955661 

nnet 789 : 0.006303415 
nnet mean 789 : -0.4068654 
nnet RMSE 789 : 0.1464761 


s: 790 
logit 790 : -0.4593464 
logit mean 790 : -0.4514668 
logit RMSE 790 : 0.07033837 

boosting 790 : -0.5213709 
boosting mean 790 : -0.444319 
boosting RMSE 790 : 0.1486387 

forest 790 : -0.3572282 
forest mean 790 : -0.4073241 
forest RMSE 790 : 0.05953836 

nnet 790 : -0.3666004 
nnet mean 790 : -0.4068145 
nnet RMSE 790 : 0.1463882 


s: 791 
logit 791 : -0.4144363 
logit mean 791 : -0.4514199 
logit RMSE 791 : 0.07029577 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 791 : -0.4157783 
boosting mean 791 : -0.444283 
boosting RMSE 791 : 0.1485457 

forest 791 : -0.4686525 
forest mean 791 : -0.4074017 
forest RMSE 791 : 0.05955076 

nnet 791 : -0.5260402 
nnet mean 791 : -0.4069652 
nnet RMSE 791 : 0.1463643 


s: 792 
logit 792 : -0.4075797 
logit mean 792 : -0.4513646 
logit RMSE 792 : 0.07025189 

boosting 792 : -0.461366 
boosting mean 792 : -0.4443045 
boosting RMSE 792 : 0.1484680 

forest 792 : -0.3694973 
forest mean 792 : -0.4073538 
forest RMSE 792 : 0.05952302 

nnet 792 : -0.3728359 
nnet mean 792 : -0.4069221 
nnet RMSE 792 : 0.146275 


s: 793 
logit 793 : -0.4833376 
logit mean 793 : -0.4514049 
logit RMSE 793 : 0.07026993 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 793 : -0.7691274 
boosting mean 793 : -0.4447141 
boosting RMSE 793 : 0.1489522 

forest 793 : -0.4785167 
forest mean 793 : -0.4074436 
forest RMSE 793 : 0.05955079 

nnet 793 : -0.4162017 
nnet mean 793 : -0.4069338 
nnet RMSE 793 : 0.1461839 


s: 794 
logit 794 : -0.4333657 
logit mean 794 : -0.4513822 
logit RMSE 794 : 0.07023564 

boosting 794 : -0.4167704 
boosting mean 794 : -0.4446790 
boosting RMSE 794 : 0.1488596 

forest 794 : -0.4302849 
forest mean 794 : -0.4074723 
forest RMSE 794 : 0.05952298 

nnet 794 : -0.3982157 
nnet mean 794 : -0.4069228 
nnet RMSE 794 : 0.1460918 


s: 795 
logit 795 : -0.4770074 
logit mean 795 : -0.4514144 
logit RMSE 795 : 0.07024457 

boosting 795 : -0.0942716 
boosting mean 795 : -0.4442382 
boosting RMSE 795 : 0.1491605 

forest 795 : -0.3441614 
forest mean 795 : -0.4073927 
forest RMSE 795 : 0.05951849 

nnet 795 : 0.004058212 
nnet mean 795 : -0.4064059 
nnet RMSE 795 : 0.1467015 


s: 796 
logit 796 : -0.4319612 
logit mean 796 : -0.45139 
logit RMSE 796 : 0.07020957 

boosting 796 : -0.820239 
boosting mean 796 : -0.4447105 
boosting RMSE 796 : 0.1498091 

forest 796 : -0.3410881 
forest mean 796 : -0.4073094 
forest RMSE 796 : 0.05951773 

nnet 796 : -0.3638805 
nnet mean 796 : -0.4063524 
nnet RMSE 796 : 0.1466149 


s: 797 
logit 797 : -0.5300633 
logit mean 797 : -0.4514887 
logit RMSE 797 : 0.0703166 

boosting 797 : -0.6767354 
boosting mean 797 : -0.4450017 
boosting RMSE 797 : 0.1500357 

forest 797 : -0.5170637 
forest mean 797 : -0.4074471 
forest RMSE 797 : 0.05962474 

nnet 797 : -0.5782699 
nnet mean 797 : -0.4065682 
nnet RMSE 797 : 0.1466589 


s: 798 
logit 798 : -0.469804 
logit mean 798 : -0.4515116 
logit RMSE 798 : 0.07031596 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 798 : -0.47482 
boosting mean 798 : -0.445039 
boosting RMSE 798 : 0.1499650 

forest 798 : -0.4327895 
forest mean 798 : -0.4074789 
forest RMSE 798 : 0.05959868 

nnet 798 : -0.4465509 
nnet mean 798 : -0.4066183 
nnet RMSE 798 : 0.1465763 


s: 799 
logit 799 : -0.4485432 
logit mean 799 : -0.4515079 
logit RMSE 799 : 0.07029293 

boosting 799 : -0.2924419 
boosting mean 799 : -0.4448481 
boosting RMSE 799 : 0.1499195 

forest 799 : -0.4211618 
forest mean 799 : -0.407496 
forest RMSE 799 : 0.05956608 

nnet 799 : -0.4371562 
nnet mean 799 : -0.4066565 
nnet RMSE 799 : 0.1464904 


s: 800 
logit 800 : -0.4288476 
logit mean 800 : -0.4514796 
logit RMSE 800 : 0.07025638 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 800 : -0.4163521 
boosting mean 800 : -0.4448124 
boosting RMSE 800 : 0.1498268 

forest 800 : -0.3832759 
forest mean 800 : -0.4074657 
forest RMSE 800 : 0.05953177 

nnet 800 : -0.5118478 
nnet mean 800 : -0.406788 
nnet RMSE 800 : 0.1464522 


s: 801 
logit 801 : -0.4527428 
logit mean 801 : -0.4514812 
logit RMSE 801 : 0.07023724 

boosting 801 : -0.4203142 
boosting mean 801 : -0.4447818 
boosting RMSE 801 : 0.149735 

forest 801 : -0.4072246 
forest mean 801 : -0.4074654 
forest RMSE 801 : 0.05949515 

nnet 801 : -0.3548991 
nnet mean 801 : -0.4067232 
nnet RMSE 801 : 0.1463695 


s: 802 
logit 802 : -0.4447586 
logit mean 802 : -0.4514728 
logit RMSE 802 : 0.07021123 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 802 : -0.3435669 
boosting mean 802 : -0.4446556 
boosting RMSE 802 : 0.1496549 

forest 802 : -0.4734412 
forest mean 802 : -0.4075477 
forest RMSE 802 : 0.05951457 

nnet 802 : -0.4645534 
nnet mean 802 : -0.4067953 
nnet RMSE 802 : 0.1462959 


s: 803 
logit 803 : -0.5435494 
logit mean 803 : -0.4515875 
logit RMSE 803 : 0.07035012 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 803 : -0.6581532 
boosting mean 803 : -0.4449215 
boosting RMSE 803 : 0.1498389 

forest 803 : -0.3898364 
forest mean 803 : -0.4075256 
forest RMSE 803 : 0.05947858 

nnet 803 : -0.4861193 
nnet mean 803 : -0.4068941 
nnet RMSE 803 : 0.1462364 


s: 804 
logit 804 : -0.602931 
logit mean 804 : -0.4517757 
logit RMSE 804 : 0.07066968 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 804 : -0.315468 
boosting mean 804 : -0.4447605 
boosting RMSE 804 : 0.1497753 

forest 804 : -0.3523567 
forest mean 804 : -0.407457 
forest RMSE 804 : 0.05946533 

nnet 804 : -0.3466968 
nnet mean 804 : -0.4068192 
nnet RMSE 804 : 0.1461575 


s: 805 
logit 805 : -0.4440656 
logit mean 805 : -0.4517661 
logit RMSE 805 : 0.07064285 

boosting 805 : -0.4138232 
boosting mean 805 : -0.4447221 
boosting RMSE 805 : 0.1496831 

forest 805 : -0.4218770 
forest mean 805 : -0.4074749 
forest RMSE 805 : 0.05943338 

nnet 805 : -0.4718657 
nnet mean 805 : -0.4069 
nnet RMSE 805 : 0.1460887 


s: 806 
logit 806 : -0.482691 
logit mean 806 : -0.4518045 
logit RMSE 806 : 0.07065907 

boosting 806 : -0.4620997 
boosting mean 806 : -0.4447436 
boosting RMSE 806 : 0.1496062 

forest 806 : -0.3699571 
forest mean 806 : -0.4074284 
forest RMSE 806 : 0.05940593 

nnet 806 : -0.4127838 
nnet mean 806 : -0.4069073 
nnet RMSE 806 : 0.1459987 


s: 807 
logit 807 : -0.4099744 
logit mean 807 : -0.4517527 
logit RMSE 807 : 0.07061615 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 807 : -0.5224988 
boosting mean 807 : -0.44484 
boosting RMSE 807 : 0.1495756 

forest 807 : -0.3490285 
forest mean 807 : -0.407356 
forest RMSE 807 : 0.05939622 

nnet 807 : -0.528047 
nnet mean 807 : -0.4070574 
nnet RMSE 807 : 0.1459778 


s: 808 
logit 808 : -0.5050995 
logit mean 808 : -0.4518187 
logit RMSE 808 : 0.07066923 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 808 : -0.4207559 
boosting mean 808 : -0.4448102 
boosting RMSE 808 : 0.1494848 

forest 808 : -0.3909576 
forest mean 808 : -0.4073357 
forest RMSE 808 : 0.0593603 

nnet 808 : -0.5059534 
nnet mean 808 : -0.4071798 
nnet RMSE 808 : 0.1459351 


s: 809 
logit 809 : -0.4456163 
logit mean 809 : -0.451811 
logit RMSE 809 : 0.07064375 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 809 : -0.3691639 
boosting mean 809 : -0.4447167 
boosting RMSE 809 : 0.1493963 

forest 809 : -0.3243484 
forest mean 809 : -0.4072331 
forest RMSE 809 : 0.0593832 

nnet 809 : -0.4104352 
nnet mean 809 : -0.4071838 
nnet RMSE 809 : 0.1458453 


s: 810 
logit 810 : -0.4697626 
logit mean 810 : -0.4518332 
logit RMSE 810 : 0.07064266 

boosting 810 : -0.1733528 
boosting mean 810 : -0.4443817 
boosting RMSE 810 : 0.1495163 

forest 810 : -0.4268741 
forest mean 810 : -0.4072574 
forest RMSE 810 : 0.05935404 

nnet 810 : -0.2552657 
nnet mean 810 : -0.4069963 
nnet RMSE 810 : 0.1458439 


s: 811 
logit 811 : -0.50185 
logit mean 811 : -0.4518949 
logit RMSE 811 : 0.07068963 

boosting 811 : -0.3696283 
boosting mean 811 : -0.4442895 
boosting RMSE 811 : 0.1494279 

forest 811 : -0.3927773 
forest mean 811 : -0.4072395 
forest RMSE 811 : 0.05931798 

nnet 811 : -0.3146754 
nnet mean 811 : -0.4068825 
nnet RMSE 811 : 0.1457848 


s: 812 
logit 812 : -0.4341772 
logit mean 812 : -0.451873 
logit RMSE 812 : 0.07065627 

boosting 812 : -0.3534798 
boosting mean 812 : -0.4441776 
boosting RMSE 812 : 0.1493448 

forest 812 : -0.3914276 
forest mean 812 : -0.4072200 
forest RMSE 812 : 0.05928221 

nnet 812 : -0.2386212 
nnet mean 812 : -0.4066752 
nnet RMSE 812 : 0.1458050 


s: 813 
logit 813 : -0.4241407 
logit mean 813 : -0.4518389 
logit RMSE 813 : 0.07061788 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 813 : -0.6206882 
boosting mean 813 : -0.4443948 
boosting RMSE 813 : 0.1494535 

forest 813 : -0.4209574 
forest mean 813 : -0.4072369 
forest RMSE 813 : 0.0592503 

nnet 813 : -0.2812247 
nnet mean 813 : -0.4065209 
nnet RMSE 813 : 0.1457749 


s: 814 
logit 814 : -0.5570179 
logit mean 814 : -0.4519681 
logit RMSE 814 : 0.07078874 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 814 : -0.4368266 
boosting mean 814 : -0.4443855 
boosting RMSE 814 : 0.1493672 

forest 814 : -0.4849009 
forest mean 814 : -0.4073323 
forest RMSE 814 : 0.05928862 

nnet 814 : -0.4335601 
nnet mean 814 : -0.4065541 
nnet RMSE 814 : 0.1456900 


s: 815 
logit 815 : -0.4297082 
logit mean 815 : -0.4519408 
logit RMSE 815 : 0.07075295 

boosting 815 : -0.4311226 
boosting mean 815 : -0.4443692 
boosting RMSE 815 : 0.1492795 

forest 815 : -0.4543403 
forest mean 815 : -0.40739 
forest RMSE 815 : 0.0592828 

nnet 815 : -0.543161 
nnet mean 815 : -0.4067218 
nnet RMSE 815 : 0.1456870 


s: 816 
logit 816 : -0.4797384 
logit mean 816 : -0.4519749 
logit RMSE 816 : 0.07076466 

boosting 816 : -0.5166758 
boosting mean 816 : -0.4444578 
boosting RMSE 816 : 0.1492440 

forest 816 : -0.3541453 
forest mean 816 : -0.4073248 
forest RMSE 816 : 0.0592682 

nnet 816 : -0.5325494 
nnet mean 816 : -0.406876 
nnet RMSE 816 : 0.1456716 


s: 817 
logit 817 : -0.452508 
logit mean 817 : -0.4519755 
logit RMSE 817 : 0.0707452 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 817 : -0.5059067 
boosting mean 817 : -0.444533 
boosting RMSE 817 : 0.1491986 

forest 817 : -0.4666846 
forest mean 817 : -0.4073974 
forest RMSE 817 : 0.05927785 

nnet 817 : -0.3939723 
nnet mean 817 : -0.4068602 
nnet RMSE 817 : 0.1455826 


s: 818 
logit 818 : -0.462823 
logit mean 818 : -0.4519888 
logit RMSE 818 : 0.07073605 

boosting 818 : -0.2831253 
boosting mean 818 : -0.4443357 
boosting RMSE 818 : 0.1491634 

forest 818 : -0.32769 
forest mean 818 : -0.4073 
forest RMSE 818 : 0.05929553 

nnet 818 : -0.2568545 
nnet mean 818 : -0.4066768 
nnet RMSE 818 : 0.1455796 


s: 819 
logit 819 : -0.4673041 
logit mean 819 : -0.4520075 
logit RMSE 819 : 0.07073197 

boosting 819 : -0.6850857 
boosting mean 819 : -0.4446296 
boosting RMSE 819 : 0.1494047 

forest 819 : -0.399366 
forest mean 819 : -0.4072903 
forest RMSE 819 : 0.05925932 

nnet 819 : -0.4001495 
nnet mean 819 : -0.4066688 
nnet RMSE 819 : 0.1454907 


s: 820 
logit 820 : -0.3771083 
logit mean 820 : -0.4519162 
logit RMSE 820 : 0.07069334 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 820 : -0.5842063 
boosting mean 820 : -0.4447999 
boosting RMSE 820 : 0.1494521 

forest 820 : -0.4051742 
forest mean 820 : -0.4072877 
forest RMSE 820 : 0.05922345 

nnet 820 : -0.3322467 
nnet mean 820 : -0.4065781 
nnet RMSE 820 : 0.1454212 


s: 821 
logit 821 : -0.4585243 
logit mean 821 : -0.4519242 
logit RMSE 821 : 0.0706798 

boosting 821 : -0.4540724 
boosting mean 821 : -0.4448112 
boosting RMSE 821 : 0.149373 

forest 821 : -0.394365 
forest mean 821 : -0.407272 
forest RMSE 821 : 0.0591877 

nnet 821 : -0.4510969 
nnet mean 821 : -0.4066323 
nnet RMSE 821 : 0.1453436 


s: 822 
logit 822 : -0.418172 
logit mean 822 : -0.4518831 
logit RMSE 822 : 0.07063963 

boosting 822 : -0.5493297 
boosting mean 822 : -0.4449383 
boosting RMSE 822 : 0.1493729 

forest 822 : -0.3239953 
forest mean 822 : -0.4071707 
forest RMSE 822 : 0.05921106 

nnet 822 : -0.3771807 
nnet mean 822 : -0.4065965 
nnet RMSE 822 : 0.1452573 


s: 823 
logit 823 : -0.4541516 
logit mean 823 : -0.4518859 
logit RMSE 823 : 0.07062194 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 823 : -0.6214387 
boosting mean 823 : -0.4451528 
boosting RMSE 823 : 0.1494816 

forest 823 : -0.513255 
forest mean 823 : -0.4072996 
forest RMSE 823 : 0.05930662 

nnet 823 : -0.6078332 
nnet mean 823 : -0.406841 
nnet RMSE 823 : 0.1453497 


s: 824 
logit 824 : -0.4740799 
logit mean 824 : -0.4519128 
logit RMSE 824 : 0.07062623 

boosting 824 : -0.3326291 
boosting mean 824 : -0.4450162 
boosting RMSE 824 : 0.1494093 

forest 824 : -0.4053725 
forest mean 824 : -0.4072972 
forest RMSE 824 : 0.05927092 

nnet 824 : -0.4942898 
nnet mean 824 : -0.4069471 
nnet RMSE 824 : 0.1452986 


s: 825 
logit 825 : -0.4352469 
logit mean 825 : -0.4518926 
logit RMSE 825 : 0.07059408 

boosting 825 : -0.3606125 
boosting mean 825 : -0.4449139 
boosting RMSE 825 : 0.149325 

forest 825 : -0.4340787 
forest mean 825 : -0.4073297 
forest RMSE 825 : 0.05924686 

nnet 825 : -0.2992341 
nnet mean 825 : -0.4068165 
nnet RMSE 825 : 0.1452529 


s: 826 
logit 826 : -0.48779 
logit mean 826 : -0.4519361 
logit RMSE 826 : 0.07061743 

boosting 826 : -0.7297787 
boosting mean 826 : -0.4452588 
boosting RMSE 826 : 0.1496751 

forest 826 : -0.3546788 
forest mean 826 : -0.4072660 
forest RMSE 826 : 0.05923198 

nnet 826 : -0.3809044 
nnet mean 826 : -0.4067852 
nnet RMSE 826 : 0.1451664 


s: 827 
logit 827 : -0.4372122 
logit mean 827 : -0.4519183 
logit RMSE 827 : 0.07058659 

boosting 827 : -0.1528137 
boosting mean 827 : -0.4449052 
boosting RMSE 827 : 0.1498313 

forest 827 : -0.3457145 
forest mean 827 : -0.4071915 
forest RMSE 827 : 0.05922625 

nnet 827 : -0.4892314 
nnet mean 827 : -0.4068849 
nnet RMSE 827 : 0.1451118 


s: 828 
logit 828 : -0.4885824 
logit mean 828 : -0.4519626 
logit RMSE 828 : 0.07061109 

boosting 828 : -0.1471485 
boosting mean 828 : -0.4445455 
boosting RMSE 828 : 0.1499984 

forest 828 : -0.3893877 
forest mean 828 : -0.40717 
forest RMSE 828 : 0.05919163 

nnet 828 : -0.2265809 
nnet mean 828 : -0.4066671 
nnet RMSE 828 : 0.1451494 


s: 829 
logit 829 : -0.4434114 
logit mean 829 : -0.4519523 
logit RMSE 829 : 0.07058459 

boosting 829 : -0.2364852 
boosting mean 829 : -0.4442946 
boosting RMSE 829 : 0.1500154 

forest 829 : -0.3551587 
forest mean 829 : -0.4071073 
forest RMSE 829 : 0.05917641 

nnet 829 : -0.1484148 
nnet mean 829 : -0.4063556 
nnet RMSE 829 : 0.1453247 


s: 830 
logit 830 : -0.4574088 
logit mean 830 : -0.4519588 
logit RMSE 830 : 0.0705702 

boosting 830 : -0.5410608 
boosting mean 830 : -0.4444112 
boosting RMSE 830 : 0.1500050 

forest 830 : -0.3698783 
forest mean 830 : -0.4070624 
forest RMSE 830 : 0.05915 

nnet 830 : -0.6516727 
nnet mean 830 : -0.4066511 
nnet RMSE 830 : 0.1454996 


s: 831 
logit 831 : -0.3776047 
logit mean 831 : -0.4518694 
logit RMSE 831 : 0.070532 

boosting 831 : -0.6754374 
boosting mean 831 : -0.4446892 
boosting RMSE 831 : 0.1502189 

forest 831 : -0.4621556 
forest mean 831 : -0.4071287 
forest RMSE 831 : 0.0591537 

nnet 831 : -0.7501782 
nnet mean 831 : -0.4070645 
nnet RMSE 831 : 0.1459186 


s: 832 
logit 832 : -0.4305247 
logit mean 832 : -0.4518437 
logit RMSE 832 : 0.07049755 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 832 : -0.8760024 
boosting mean 832 : -0.4452076 
boosting RMSE 832 : 0.1510328 

forest 832 : -0.3185482 
forest mean 832 : -0.4070223 
forest RMSE 832 : 0.05918555 

nnet 832 : -0.6164476 
nnet mean 832 : -0.4073162 
nnet RMSE 832 : 0.1460238 


s: 833 
logit 833 : -0.4784144 
logit mean 833 : -0.4518756 
logit RMSE 833 : 0.07050758 

boosting 833 : -0.5486503 
boosting mean 833 : -0.4453318 
boosting RMSE 833 : 0.15103 

forest 833 : -0.5184142 
forest mean 833 : -0.407156 
forest RMSE 833 : 0.05929213 

nnet 833 : -0.2038593 
nnet mean 833 : -0.4070719 
nnet RMSE 833 : 0.1460942 


s: 834 
logit 834 : -0.4972182 
logit mean 834 : -0.45193 
logit RMSE 834 : 0.07054567 

boosting 834 : -0.4839275 
boosting mean 834 : -0.445378 
boosting RMSE 834 : 0.1509674 

forest 834 : -0.4921747 
forest mean 834 : -0.4072579 
forest RMSE 834 : 0.05934247 

nnet 834 : -0.3304151 
nnet mean 834 : -0.40698 
nnet RMSE 834 : 0.1460265 


s: 835 
logit 835 : -0.4113753 
logit mean 835 : -0.4518814 
logit RMSE 835 : 0.07050451 

boosting 835 : -0.2508541 
boosting mean 835 : -0.4451451 
boosting RMSE 835 : 0.1509652 

forest 835 : -0.3117066 
forest mean 835 : -0.4071435 
forest RMSE 835 : 0.05938558 

nnet 835 : -0.2933941 
nnet mean 835 : -0.406844 
nnet RMSE 835 : 0.1459857 


s: 836 
logit 836 : -0.3944554 
logit mean 836 : -0.4518127 
logit RMSE 836 : 0.07046259 

boosting 836 : -0.2958414 
boosting mean 836 : -0.4449665 
boosting RMSE 836 : 0.1509179 

forest 836 : -0.3447361 
forest mean 836 : -0.4070688 
forest RMSE 836 : 0.05938082 

nnet 836 : -0.5390028 
nnet mean 836 : -0.4070021 
nnet RMSE 836 : 0.1459775 


s: 837 
logit 837 : -0.4959398 
logit mean 837 : -0.4518654 
logit RMSE 837 : 0.07049852 

boosting 837 : -0.3928199 
boosting mean 837 : -0.4449042 
boosting RMSE 837 : 0.1508279 

forest 837 : -0.4450233 
forest mean 837 : -0.4071142 
forest RMSE 837 : 0.05936574 

nnet 837 : -0.1984504 
nnet mean 837 : -0.4067529 
nnet RMSE 837 : 0.1460565 


s: 838 
logit 838 : -0.5553272 
logit mean 838 : -0.4519889 
logit RMSE 838 : 0.07066047 

boosting 838 : -0.3995263 
boosting mean 838 : -0.44485 
boosting RMSE 838 : 0.1507379 

forest 838 : -0.4464194 
forest mean 838 : -0.4071611 
forest RMSE 838 : 0.05935198 

nnet 838 : -0.2054208 
nnet mean 838 : -0.4065127 
nnet RMSE 838 : 0.1461240 


s: 839 
logit 839 : -0.4117967 
logit mean 839 : -0.451941 
logit RMSE 839 : 0.07061952 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 839 : -0.4476329 
boosting mean 839 : -0.4448533 
boosting RMSE 839 : 0.1506570 

forest 839 : -0.4004889 
forest mean 839 : -0.4071531 
forest RMSE 839 : 0.0593166 

nnet 839 : -0.3817852 
nnet mean 839 : -0.4064832 
nnet RMSE 839 : 0.1460383 


s: 840 
logit 840 : -0.4595323 
logit mean 840 : -0.45195 
logit RMSE 840 : 0.07060735 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 840 : -0.583634 
boosting mean 840 : -0.4450186 
boosting RMSE 840 : 0.1507006 

forest 840 : -0.3459928 
forest mean 840 : -0.4070803 
forest RMSE 840 : 0.05931056 

nnet 840 : -0.649011 
nnet mean 840 : -0.4067719 
nnet RMSE 840 : 0.146204 


s: 841 
logit 841 : -0.451364 
logit mean 841 : -0.4519493 
logit RMSE 841 : 0.07058759 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 841 : -0.6428343 
boosting mean 841 : -0.4452538 
boosting RMSE 841 : 0.1508436 

forest 841 : -0.4812671 
forest mean 841 : -0.4071685 
forest RMSE 841 : 0.05934149 

nnet 841 : -0.5422256 
nnet mean 841 : -0.406933 
nnet RMSE 841 : 0.1461993 


s: 842 
logit 842 : -0.3867229 
logit mean 842 : -0.4518719 
logit RMSE 842 : 0.07054714 

boosting 842 : -0.6178239 
boosting mean 842 : -0.4454587 
boosting RMSE 842 : 0.1509407 

forest 842 : -0.3663239 
forest mean 842 : -0.40712 
forest RMSE 842 : 0.0593176 

nnet 842 : -0.3297519 
nnet mean 842 : -0.4068413 
nnet RMSE 842 : 0.1461325 


s: 843 
logit 843 : -0.4911883 
logit mean 843 : -0.4519185 
logit RMSE 843 : 0.0705752 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 843 : -0.4792382 
boosting mean 843 : -0.4454988 
boosting RMSE 843 : 0.1508759 

forest 843 : -0.4372922 
forest mean 843 : -0.4071558 
forest RMSE 843 : 0.05929632 

nnet 843 : -0.3232266 
nnet mean 843 : -0.4067421 
nnet RMSE 843 : 0.1460698 


s: 844 
logit 844 : -0.4420109 
logit mean 844 : -0.4519068 
logit RMSE 844 : 0.0705482 

boosting 844 : -0.3782778 
boosting mean 844 : -0.4454191 
boosting RMSE 844 : 0.1507883 

forest 844 : -0.3830951 
forest mean 844 : -0.4071273 
forest RMSE 844 : 0.05926403 

nnet 844 : -0.3661296 
nnet mean 844 : -0.406694 
nnet RMSE 844 : 0.1459879 


s: 845 
logit 845 : -0.4254788 
logit mean 845 : -0.4518755 
logit RMSE 845 : 0.0705119 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 845 : -0.4750506 
boosting mean 845 : -0.4454542 
boosting RMSE 845 : 0.1507212 

forest 845 : -0.4094678 
forest mean 845 : -0.4071301 
forest RMSE 845 : 0.05922985 

nnet 845 : -0.5211143 
nnet mean 845 : -0.4068294 
nnet RMSE 845 : 0.1459609 


s: 846 
logit 846 : -0.4170885 
logit mean 846 : -0.4518344 
logit RMSE 846 : 0.07047266 

boosting 846 : -0.2809 
boosting mean 846 : -0.4452597 
boosting RMSE 846 : 0.1506877 

forest 846 : -0.4529957 
forest mean 846 : -0.4071843 
forest RMSE 846 : 0.05922287 

nnet 846 : -0.4720594 
nnet mean 846 : -0.4069065 
nnet RMSE 846 : 0.1458957 


s: 847 
logit 847 : -0.4909046 
logit mean 847 : -0.4518805 
logit RMSE 847 : 0.07050027 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 847 : -0.6627397 
boosting mean 847 : -0.4455165 
boosting RMSE 847 : 0.1508691 

forest 847 : -0.2746769 
forest mean 847 : -0.4070279 
forest RMSE 847 : 0.05934434 

nnet 847 : -0.3591069 
nnet mean 847 : -0.4068501 
nnet RMSE 847 : 0.1458163 


s: 848 
logit 848 : -0.3985097 
logit mean 848 : -0.4518176 
logit RMSE 848 : 0.07045871 

boosting 848 : -0.2765603 
boosting mean 848 : -0.4453172 
boosting RMSE 848 : 0.1508397 

forest 848 : -0.4239161 
forest mean 848 : -0.4070478 
forest RMSE 848 : 0.05931502 

nnet 848 : -0.2489041 
nnet mean 848 : -0.4066638 
nnet RMSE 848 : 0.1458226 


s: 849 
logit 849 : -0.4077739 
logit mean 849 : -0.4517657 
logit RMSE 849 : 0.07041771 

boosting 849 : -0.4299595 
boosting mean 849 : -0.4452991 
boosting RMSE 849 : 0.1507543 

forest 849 : -0.4727361 
forest mean 849 : -0.4071251 
forest RMSE 849 : 0.05933262 

nnet 849 : -0.1608315 
nnet mean 849 : -0.4063743 
nnet RMSE 849 : 0.1459677 


s: 850 
logit 850 : -0.5045792 
logit mean 850 : -0.4518278 
logit RMSE 850 : 0.07046763 

boosting 850 : -0.4574401 
boosting mean 850 : -0.4453134 
boosting RMSE 850 : 0.1506785 

forest 850 : -0.4852768 
forest mean 850 : -0.4072171 
forest RMSE 850 : 0.0593698 

nnet 850 : -0.1153273 
nnet mean 850 : -0.4060319 
nnet RMSE 850 : 0.1462082 


s: 851 
logit 851 : -0.3578253 
logit mean 851 : -0.4517174 
logit RMSE 851 : 0.07044105 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 851 : -0.449831 
boosting mean 851 : -0.4453187 
boosting RMSE 851 : 0.1505996 

forest 851 : -0.392032 
forest mean 851 : -0.4071992 
forest RMSE 851 : 0.05933554 

nnet 851 : -0.5042097 
nnet mean 851 : -0.4061472 
nnet RMSE 851 : 0.1461660 


s: 852 
logit 852 : -0.4601514 
logit mean 852 : -0.4517272 
logit RMSE 852 : 0.07042986 

boosting 852 : -0.5250084 
boosting mean 852 : -0.4454123 
boosting RMSE 852 : 0.1505722 

forest 852 : -0.4411376 
forest mean 852 : -0.4072391 
forest RMSE 852 : 0.05931745 

nnet 852 : -0.4833963 
nnet mean 852 : -0.4062379 
nnet RMSE 852 : 0.1461081 


s: 853 
logit 853 : -0.3729322 
logit mean 853 : -0.4516349 
logit RMSE 853 : 0.07039466 

boosting 853 : -0.5051077 
boosting mean 853 : -0.4454822 
boosting RMSE 853 : 0.1505269 

forest 853 : -0.5171081 
forest mean 853 : -0.4073679 
forest RMSE 853 : 0.05941812 

nnet 853 : -0.5422073 
nnet mean 853 : -0.4063973 
nnet RMSE 853 : 0.1461036 


s: 854 
logit 854 : -0.4287529 
logit mean 854 : -0.4516081 
logit RMSE 854 : 0.07036032 

boosting 854 : -0.4497628 
boosting mean 854 : -0.4454873 
boosting RMSE 854 : 0.1504484 

forest 854 : -0.4312055 
forest mean 854 : -0.4073958 
forest RMSE 854 : 0.05939292 

nnet 854 : -0.2534681 
nnet mean 854 : -0.4062182 
nnet RMSE 854 : 0.1461041 


s: 855 
logit 855 : -0.4868475 
logit mean 855 : -0.4516493 
logit RMSE 855 : 0.07038185 

boosting 855 : -0.8983677 
boosting mean 855 : -0.4460169 
boosting RMSE 855 : 0.1513233 

forest 855 : -0.3546946 
forest mean 855 : -0.4073342 
forest RMSE 855 : 0.0593784 

nnet 855 : -0.3913138 
nnet mean 855 : -0.4062008 
nnet RMSE 855 : 0.1460189 


s: 856 
logit 856 : -0.5972394 
logit mean 856 : -0.4518194 
logit RMSE 856 : 0.07066305 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 856 : -0.3219928 
boosting mean 856 : -0.4458721 
boosting RMSE 856 : 0.1512584 

forest 856 : -0.3714275 
forest mean 856 : -0.4072922 
forest RMSE 856 : 0.05935174 

nnet 856 : -0.2950987 
nnet mean 856 : -0.406071 
nnet RMSE 856 : 0.1459776 


s: 857 
logit 857 : -0.4563993 
logit mean 857 : -0.4518247 
logit RMSE 857 : 0.07064808 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 857 : -0.7147356 
boosting mean 857 : -0.4461858 
boosting RMSE 857 : 0.1515519 

forest 857 : -0.3521085 
forest mean 857 : -0.4072278 
forest RMSE 857 : 0.05933965 

nnet 857 : -0.5385542 
nnet mean 857 : -0.4062256 
nnet RMSE 857 : 0.1459692 


s: 858 
logit 858 : -0.2973711 
logit mean 858 : -0.4516447 
logit RMSE 858 : 0.07069378 

boosting 858 : -0.4492059 
boosting mean 858 : -0.4461893 
boosting RMSE 858 : 0.1514729 

forest 858 : -0.3534130 
forest mean 858 : -0.4071651 
forest RMSE 858 : 0.05932639 

nnet 858 : -0.3154884 
nnet mean 858 : -0.4061198 
nnet RMSE 858 : 0.1459126 


s: 859 
logit 859 : -0.4147718 
logit mean 859 : -0.4516018 
logit RMSE 859 : 0.07065441 

boosting 859 : -0.6827089 
boosting mean 859 : -0.4464646 
boosting RMSE 859 : 0.1516917 

forest 859 : -0.3535974 
forest mean 859 : -0.4071027 
forest RMSE 859 : 0.05931298 

nnet 859 : -0.3522223 
nnet mean 859 : -0.4060571 
nnet RMSE 859 : 0.1458368 


s: 860 
logit 860 : -0.430972 
logit mean 860 : -0.4515778 
logit RMSE 860 : 0.07062122 

boosting 860 : -0.6177189 
boosting mean 860 : -0.4466638 
boosting RMSE 860 : 0.1517851 

forest 860 : -0.471924 
forest mean 860 : -0.4071781 
forest RMSE 860 : 0.0593292 

nnet 860 : -0.2089828 
nnet mean 860 : -0.4058279 
nnet RMSE 860 : 0.1458975 


s: 861 
logit 861 : -0.4592211 
logit mean 861 : -0.4515867 
logit RMSE 861 : 0.07060905 

boosting 861 : -0.5347942 
boosting mean 861 : -0.4467661 
boosting RMSE 861 : 0.1517665 

forest 861 : -0.4468732 
forest mean 861 : -0.4072242 
forest RMSE 861 : 0.05931625 

nnet 861 : -0.4194946 
nnet mean 861 : -0.4058438 
nnet RMSE 861 : 0.1458142 


s: 862 
logit 862 : -0.449744 
logit mean 862 : -0.4515845 
logit RMSE 862 : 0.07058842 

boosting 862 : -0.3116192 
boosting mean 862 : -0.4466094 
boosting RMSE 862 : 0.1517083 

forest 862 : -0.4280015 
forest mean 862 : -0.4072483 
forest RMSE 862 : 0.0592895 

nnet 862 : -0.6499482 
nnet mean 862 : -0.406127 
nnet RMSE 862 : 0.1459781 


s: 863 
logit 863 : -0.3941592 
logit mean 863 : -0.451518 
logit RMSE 863 : 0.07054779 

boosting 863 : -0.3468356 
boosting mean 863 : -0.4464937 
boosting RMSE 863 : 0.1516312 

forest 863 : -0.3820746 
forest mean 863 : -0.4072191 
forest RMSE 863 : 0.05925829 

nnet 863 : -0.1302630 
nnet mean 863 : -0.4058073 
nnet RMSE 863 : 0.1461821 


s: 864 
logit 864 : -0.5517055 
logit mean 864 : -0.4516340 
logit RMSE 864 : 0.0706956 

boosting 864 : -0.4307402 
boosting mean 864 : -0.4464755 
boosting RMSE 864 : 0.1515470 

forest 864 : -0.4069542 
forest mean 864 : -0.4072188 
forest RMSE 864 : 0.05922446 

nnet 864 : -0.7390448 
nnet mean 864 : -0.406193 
nnet RMSE 864 : 0.1465521 


s: 865 
logit 865 : -0.4304015 
logit mean 865 : -0.4516094 
logit RMSE 865 : 0.07066228 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 865 : -0.3225889 
boosting mean 865 : -0.4463323 
boosting RMSE 865 : 0.1514823 

forest 865 : -0.4196868 
forest mean 865 : -0.4072333 
forest RMSE 865 : 0.059194 

nnet 865 : -0.7526127 
nnet mean 865 : -0.4065935 
nnet RMSE 865 : 0.1469573 


s: 866 
logit 866 : -0.3816338 
logit mean 866 : -0.4515286 
logit RMSE 866 : 0.07062423 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 866 : -0.6885798 
boosting mean 866 : -0.446612 
boosting RMSE 866 : 0.1517120 

forest 866 : -0.4643719 
forest mean 866 : -0.4072992 
forest RMSE 866 : 0.05920024 

nnet 866 : -0.4726237 
nnet mean 866 : -0.4066698 
nnet RMSE 866 : 0.1468931 


s: 867 
logit 867 : -0.472054 
logit mean 867 : -0.4515523 
logit RMSE 867 : 0.0706259 

boosting 867 : -0.3849678 
boosting mean 867 : -0.4465409 
boosting RMSE 867 : 0.1516254 

forest 867 : -0.4195648 
forest mean 867 : -0.4073134 
forest RMSE 867 : 0.05916982 

nnet 867 : -0.2430587 
nnet mean 867 : -0.4064811 
nnet RMSE 867 : 0.1469051 


s: 868 
logit 868 : -0.5418128 
logit mean 868 : -0.4516563 
logit RMSE 868 : 0.07074913 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 868 : -0.4029393 
boosting mean 868 : -0.4464907 
boosting RMSE 868 : 0.1515381 

forest 868 : -0.3828206 
forest mean 868 : -0.4072852 
forest RMSE 868 : 0.0591386 

nnet 868 : -0.4231885 
nnet mean 868 : -0.4065003 
nnet RMSE 868 : 0.1468226 


s: 869 
logit 869 : -0.5144461 
logit mean 869 : -0.4517285 
logit RMSE 869 : 0.07081491 

boosting 869 : -0.05992922 
boosting mean 869 : -0.4460458 
boosting RMSE 869 : 0.1518896 

forest 869 : -0.3840094 
forest mean 869 : -0.4072584 
forest RMSE 869 : 0.05910705 

nnet 869 : -0.6101823 
nnet mean 869 : -0.4067347 
nnet RMSE 869 : 0.1469112 


s: 870 
logit 870 : -0.5756512 
logit mean 870 : -0.451871 
logit RMSE 870 : 0.0710243 

boosting 870 : -0.3911177 
boosting mean 870 : -0.4459827 
boosting RMSE 870 : 0.1518025 

forest 870 : -0.4522273 
forest mean 870 : -0.4073101 
forest RMSE 870 : 0.0590996 

nnet 870 : -0.3071177 
nnet mean 870 : -0.4066202 
nnet RMSE 870 : 0.1468605 


s: 871 
logit 871 : -0.3862309 
logit mean 871 : -0.4517956 
logit RMSE 871 : 0.07098505 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 871 : -0.4300448 
boosting mean 871 : -0.4459644 
boosting RMSE 871 : 0.1517188 

forest 871 : -0.4343152 
forest mean 871 : -0.4073411 
forest RMSE 871 : 0.05907711 

nnet 871 : -0.4788521 
nnet mean 871 : -0.4067031 
nnet RMSE 871 : 0.1468005 


s: 872 
logit 872 : -0.4235865 
logit mean 872 : -0.4517632 
logit RMSE 872 : 0.07094883 

boosting 872 : -0.3351534 
boosting mean 872 : -0.4458373 
boosting RMSE 872 : 0.1516477 

forest 872 : -0.4280106 
forest mean 872 : -0.4073648 
forest RMSE 872 : 0.05905084 

nnet 872 : -0.2142487 
nnet mean 872 : -0.4064824 
nnet RMSE 872 : 0.1468511 


s: 873 
logit 873 : -0.4319508 
logit mean 873 : -0.4517406 
logit RMSE 873 : 0.07091643 

boosting 873 : -0.4843114 
boosting mean 873 : -0.4458814 
boosting RMSE 873 : 0.1515877 

forest 873 : -0.4358793 
forest mean 873 : -0.4073974 
forest RMSE 873 : 0.05902951 

nnet 873 : -0.2485777 
nnet mean 873 : -0.4063015 
nnet RMSE 873 : 0.1468564 


s: 874 
logit 874 : -0.5645184 
logit mean 874 : -0.4518696 
logit RMSE 874 : 0.07109398 

boosting 874 : -0.615627 
boosting mean 874 : -0.4460756 
boosting RMSE 874 : 0.1516764 

forest 874 : -0.4275404 
forest mean 874 : -0.4074205 
forest RMSE 874 : 0.05900308 

nnet 874 : -0.5558728 
nnet mean 874 : -0.4064727 
nnet RMSE 874 : 0.146867 


s: 875 
logit 875 : -0.418883 
logit mean 875 : -0.4518319 
logit RMSE 875 : 0.07105621 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 875 : -0.2024636 
boosting mean 875 : -0.4457972 
boosting RMSE 875 : 0.1517367 

forest 875 : -0.3912997 
forest mean 875 : -0.4074021 
forest RMSE 875 : 0.05897009 

nnet 875 : -0.3060777 
nnet mean 875 : -0.4063579 
nnet RMSE 875 : 0.1468174 


s: 876 
logit 876 : -0.3386739 
logit mean 876 : -0.4517027 
logit RMSE 876 : 0.07104587 

boosting 876 : -0.3707821 
boosting mean 876 : -0.4457116 
boosting RMSE 876 : 0.1516533 

forest 876 : -0.3432237 
forest mean 876 : -0.4073288 
forest RMSE 876 : 0.05896763 

nnet 876 : -0.3319262 
nnet mean 876 : -0.406273 
nnet RMSE 876 : 0.1467516 


s: 877 
logit 877 : -0.4046361 
logit mean 877 : -0.451649 
logit RMSE 877 : 0.07100552 

boosting 877 : -0.4326895 
boosting mean 877 : -0.4456967 
boosting RMSE 877 : 0.1515708 

forest 877 : -0.4561283 
forest mean 877 : -0.4073844 
forest RMSE 877 : 0.05896447 

nnet 877 : -0.361176 
nnet mean 877 : -0.4062215 
nnet RMSE 877 : 0.1466738 


s: 878 
logit 878 : -0.433332 
logit mean 878 : -0.4516282 
logit RMSE 878 : 0.07097399 

boosting 878 : -0.4913272 
boosting mean 878 : -0.4457487 
boosting RMSE 878 : 0.1515158 

forest 878 : -0.3568855 
forest mean 878 : -0.4073269 
forest RMSE 878 : 0.05894884 

nnet 878 : -0.4282609 
nnet mean 878 : -0.4062466 
nnet RMSE 878 : 0.1465933 


s: 879 
logit 879 : -0.4626892 
logit mean 879 : -0.4516408 
logit RMSE 879 : 0.07096511 

boosting 879 : -0.4471510 
boosting mean 879 : -0.4457503 
boosting RMSE 879 : 0.1514380 

forest 879 : -0.4504601 
forest mean 879 : -0.407376 
forest RMSE 879 : 0.05893988 

nnet 879 : -0.4340482 
nnet mean 879 : -0.4062783 
nnet RMSE 879 : 0.1465144 


s: 880 
logit 880 : -0.3384074 
logit mean 880 : -0.4515121 
logit RMSE 880 : 0.07095517 

boosting 880 : -0.5250365 
boosting mean 880 : -0.4458404 
boosting RMSE 880 : 0.1514106 

forest 880 : -0.4050082 
forest mean 880 : -0.4073733 
forest RMSE 880 : 0.05890662 

nnet 880 : -0.5792141 
nnet mean 880 : -0.4064748 
nnet RMSE 880 : 0.1465557 


s: 881 
logit 881 : -0.4274704 
logit mean 881 : -0.4514848 
logit RMSE 881 : 0.07092092 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 881 : -0.2638202 
boosting mean 881 : -0.4456338 
boosting RMSE 881 : 0.1513942 

forest 881 : -0.3368078 
forest mean 881 : -0.4072932 
forest RMSE 881 : 0.05891167 

nnet 881 : -0.08866757 
nnet mean 881 : -0.4061141 
nnet RMSE 881 : 0.1468476 


s: 882 
logit 882 : -0.4605494 
logit mean 882 : -0.4514951 
logit RMSE 882 : 0.07091002 

boosting 882 : -0.2756216 
boosting mean 882 : -0.445441 
boosting RMSE 882 : 0.1513663 

forest 882 : -0.4807221 
forest mean 882 : -0.4073765 
forest RMSE 882 : 0.05894096 

nnet 882 : -0.5858339 
nnet mean 882 : -0.4063178 
nnet RMSE 882 : 0.1468977 


s: 883 
logit 883 : -0.3169983 
logit mean 883 : -0.4513428 
logit RMSE 883 : 0.07092488 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 883 : -0.3429179 
boosting mean 883 : -0.4453249 
boosting RMSE 883 : 0.1512927 

forest 883 : -0.4643008 
forest mean 883 : -0.4074409 
forest RMSE 883 : 0.05894731 

nnet 883 : -0.4994875 
nnet mean 883 : -0.4064233 
nnet RMSE 883 : 0.1468526 


s: 884 
logit 884 : -0.4293442 
logit mean 884 : -0.4513179 
logit RMSE 884 : 0.07089163 

boosting 884 : -0.5374608 
boosting mean 884 : -0.4454291 
boosting RMSE 884 : 0.1512778 

forest 884 : -0.3936154 
forest mean 884 : -0.4074253 
forest RMSE 884 : 0.05891435 

nnet 884 : -0.2118377 
nnet mean 884 : -0.4062032 
nnet RMSE 884 : 0.1469059 


s: 885 
logit 885 : -0.4527108 
logit mean 885 : -0.4513195 
logit RMSE 885 : 0.07087372 

boosting 885 : -0.3095938 
boosting mean 885 : -0.4452757 
boosting RMSE 885 : 0.1512228 

forest 885 : -0.4000234 
forest mean 885 : -0.4074169 
forest RMSE 885 : 0.05888106 

nnet 885 : -0.5331797 
nnet mean 885 : -0.4063467 
nnet RMSE 885 : 0.1468911 


s: 886 
logit 886 : -0.4201183 
logit mean 886 : -0.4512842 
logit RMSE 886 : 0.07083693 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 886 : -0.2061067 
boosting mean 886 : -0.4450057 
boosting RMSE 886 : 0.1512778 

forest 886 : -0.3029455 
forest mean 886 : -0.407299 
forest RMSE 886 : 0.05893808 

nnet 886 : -0.3017124 
nnet mean 886 : -0.4062286 
nnet RMSE 886 : 0.1468453 


s: 887 
logit 887 : -0.3749282 
logit mean 887 : -0.4511982 
logit RMSE 887 : 0.070802 

boosting 887 : -0.1834163 
boosting mean 887 : -0.4447108 
boosting RMSE 887 : 0.1513673 

forest 887 : -0.2884281 
forest mean 887 : -0.407165 
forest RMSE 887 : 0.05902385 

nnet 887 : -0.4153972 
nnet mean 887 : -0.4062389 
nnet RMSE 887 : 0.1467635 


s: 888 
logit 888 : -0.3600957 
logit mean 888 : -0.4510956 
logit RMSE 888 : 0.07077479 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 888 : -0.6194047 
boosting mean 888 : -0.4449075 
boosting RMSE 888 : 0.1514611 

forest 888 : -0.3441706 
forest mean 888 : -0.4070941 
forest RMSE 888 : 0.05902035 

nnet 888 : 0.001135257 
nnet mean 888 : -0.4057802 
nnet RMSE 888 : 0.1472972 


s: 889 
logit 889 : -0.3709549 
logit mean 889 : -0.4510054 
logit RMSE 889 : 0.07074168 

boosting 889 : -0.258889 
boosting mean 889 : -0.4446983 
boosting RMSE 889 : 0.1514498 

forest 889 : -0.3380683 
forest mean 889 : -0.4070164 
forest RMSE 889 : 0.05902371 

nnet 889 : -0.3329498 
nnet mean 889 : -0.4056983 
nnet RMSE 889 : 0.1472315 


s: 890 
logit 890 : -0.4712448 
logit mean 890 : -0.4510282 
logit RMSE 890 : 0.07074225 

boosting 890 : -0.5700176 
boosting mean 890 : -0.4448391 
boosting RMSE 890 : 0.1514720 

forest 890 : -0.5079384 
forest mean 890 : -0.4071298 
forest RMSE 890 : 0.05910139 

nnet 890 : -0.5410077 
nnet mean 890 : -0.4058503 
nnet RMSE 890 : 0.1472246 


s: 891 
logit 891 : -0.4267345 
logit mean 891 : -0.4510009 
logit RMSE 891 : 0.07070821 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 891 : -0.4570895 
boosting mean 891 : -0.4448528 
boosting RMSE 891 : 0.1513990 

forest 891 : -0.4404205 
forest mean 891 : -0.4071672 
forest RMSE 891 : 0.05908374 

nnet 891 : -0.6837203 
nnet mean 891 : -0.4061622 
nnet RMSE 891 : 0.1474487 


s: 892 
logit 892 : -0.4890351 
logit mean 892 : -0.4510435 
logit RMSE 892 : 0.07073141 

boosting 892 : -0.4471978 
boosting mean 892 : -0.4448555 
boosting RMSE 892 : 0.1513224 

forest 892 : -0.4915866 
forest mean 892 : -0.4072618 
forest RMSE 892 : 0.05913018 

nnet 892 : -0.4060376 
nnet mean 892 : -0.406162 
nnet RMSE 892 : 0.1473661 


s: 893 
logit 893 : -0.4898923 
logit mean 893 : -0.451087 
logit RMSE 893 : 0.07075577 

boosting 893 : -0.3999764 
boosting mean 893 : -0.4448052 
boosting RMSE 893 : 0.1512376 

forest 893 : -0.3940599 
forest mean 893 : -0.407247 
forest RMSE 893 : 0.0590974 

nnet 893 : -0.4632807 
nnet mean 893 : -0.406226 
nnet RMSE 893 : 0.1472988 


s: 894 
logit 894 : -0.4275168 
logit mean 894 : -0.4510607 
logit RMSE 894 : 0.07072218 

boosting 894 : -0.6222297 
boosting mean 894 : -0.4450037 
boosting RMSE 894 : 0.1513357 

forest 894 : -0.4709139 
forest mean 894 : -0.4073182 
forest RMSE 894 : 0.05911193 

nnet 894 : -0.4165231 
nnet mean 894 : -0.4062375 
nnet RMSE 894 : 0.1472175 


s: 895 
logit 895 : -0.4079048 
logit mean 895 : -0.4510124 
logit RMSE 895 : 0.07068315 

boosting 895 : -0.2355523 
boosting mean 895 : -0.4447697 
boosting RMSE 895 : 0.1513509 

forest 895 : -0.3909576 
forest mean 895 : -0.4073 
forest RMSE 895 : 0.05907967 

nnet 895 : -0.3016072 
nnet mean 895 : -0.4061206 
nnet RMSE 895 : 0.1471720 


s: 896 
logit 896 : -0.4689405 
logit mean 896 : -0.4510325 
logit RMSE 896 : 0.07068123 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 896 : -0.7629208 
boosting mean 896 : -0.4451247 
boosting RMSE 896 : 0.1517516 

forest 896 : -0.3344638 
forest mean 896 : -0.4072187 
forest RMSE 896 : 0.05908727 

nnet 896 : -0.3273093 
nnet mean 896 : -0.4060326 
nnet RMSE 896 : 0.1471098 


s: 897 
logit 897 : -0.3782256 
logit mean 897 : -0.4509513 
logit RMSE 897 : 0.07064556 

boosting 897 : -0.8221914 
boosting mean 897 : -0.4455451 
boosting RMSE 897 : 0.1523206 

forest 897 : -0.4482203 
forest mean 897 : -0.4072644 
forest RMSE 897 : 0.05907627 

nnet 897 : -0.6769628 
nnet mean 897 : -0.4063347 
nnet RMSE 897 : 0.1473184 


s: 898 
logit 898 : -0.4573153 
logit mean 898 : -0.4509584 
logit RMSE 898 : 0.07063212 

boosting 898 : -0.4734868 
boosting mean 898 : -0.4455762 
boosting RMSE 898 : 0.1522556 

forest 898 : -0.511972 
forest mean 898 : -0.407381 
forest RMSE 898 : 0.05916148 

nnet 898 : -0.4455058 
nnet mean 898 : -0.4063783 
nnet RMSE 898 : 0.1472441 


s: 899 
logit 899 : -0.5215596 
logit mean 899 : -0.4510369 
logit RMSE 899 : 0.07070915 

boosting 899 : -0.515752 
boosting mean 899 : -0.4456543 
boosting RMSE 899 : 0.1522198 

forest 899 : -0.4376672 
forest mean 899 : -0.4074147 
forest RMSE 899 : 0.05914192 

nnet 899 : -0.5900762 
nnet mean 899 : -0.4065826 
nnet RMSE 899 : 0.1472987 


s: 900 
logit 900 : -0.4913145 
logit mean 900 : -0.4510817 
logit RMSE 900 : 0.07073537 

boosting 900 : -0.4535230 
boosting mean 900 : -0.445663 
boosting RMSE 900 : 0.1521457 

forest 900 : -0.4328796 
forest mean 900 : -0.407443 
forest RMSE 900 : 0.05911921 

nnet 900 : -0.4278112 
nnet mean 900 : -0.4066062 
nnet RMSE 900 : 0.1472198 


s: 901 
logit 901 : -0.3863124 
logit mean 901 : -0.4510098 
logit RMSE 901 : 0.07069758 

boosting 901 : -0.5503325 
boosting mean 901 : -0.4457792 
boosting RMSE 901 : 0.1521437 

forest 901 : -0.4548804 
forest mean 901 : -0.4074956 
forest RMSE 901 : 0.05911467 

nnet 901 : -0.4591836 
nnet mean 901 : -0.4066646 
nnet RMSE 901 : 0.1471513 


s: 902 
logit 902 : -0.4982274 
logit mean 902 : -0.4510621 
logit RMSE 902 : 0.07073403 

boosting 902 : -0.6787225 
boosting mean 902 : -0.4460374 
boosting RMSE 902 : 0.1523423 

forest 902 : -0.4118809 
forest mean 902 : -0.4075005 
forest RMSE 902 : 0.05908322 

nnet 902 : -0.6765553 
nnet mean 902 : -0.4069638 
nnet RMSE 902 : 0.1473577 


s: 903 
logit 903 : -0.3850870 
logit mean 903 : -0.4509891 
logit RMSE 903 : 0.0706966 

boosting 903 : -0.6084089 
boosting mean 903 : -0.4462173 
boosting RMSE 903 : 0.1524158 

forest 903 : -0.3908323 
forest mean 903 : -0.407482 
forest RMSE 903 : 0.05905128 

nnet 903 : -0.1500376 
nnet mean 903 : -0.4066793 
nnet RMSE 903 : 0.1475108 


s: 904 
logit 904 : -0.4435559 
logit mean 904 : -0.4509808 
logit RMSE 904 : 0.07067233 

boosting 904 : -0.241583 
boosting mean 904 : -0.4459909 
boosting RMSE 904 : 0.1524225 

forest 904 : -0.4793318 
forest mean 904 : -0.4075615 
forest RMSE 904 : 0.05907757 

nnet 904 : -0.5349795 
nnet mean 904 : -0.4068212 
nnet RMSE 904 : 0.1474975 


s: 905 
logit 905 : -0.5066389 
logit mean 905 : -0.4510423 
logit RMSE 905 : 0.07072217 

boosting 905 : -0.3485669 
boosting mean 905 : -0.4458832 
boosting RMSE 905 : 0.1523479 

forest 905 : -0.4735285 
forest mean 905 : -0.4076344 
forest RMSE 905 : 0.05909548 

nnet 905 : -0.6133494 
nnet mean 905 : -0.4070494 
nnet RMSE 905 : 0.1475865 


s: 906 
logit 906 : -0.5647622 
logit mean 906 : -0.4511679 
logit RMSE 906 : 0.07089477 

boosting 906 : -0.4544669 
boosting mean 906 : -0.4458927 
boosting RMSE 906 : 0.1522745 

forest 906 : -0.4773074 
forest mean 906 : -0.4077113 
forest RMSE 906 : 0.05911868 

nnet 906 : -0.06291528 
nnet mean 906 : -0.4066695 
nnet RMSE 906 : 0.1479295 


s: 907 
logit 907 : -0.4003365 
logit mean 907 : -0.4511118 
logit RMSE 907 : 0.07085567 

boosting 907 : -0.4050286 
boosting mean 907 : -0.4458477 
boosting RMSE 907 : 0.1521907 

forest 907 : -0.4333246 
forest mean 907 : -0.4077395 
forest RMSE 907 : 0.05909644 

nnet 907 : -0.2683315 
nnet mean 907 : -0.406517 
nnet RMSE 907 : 0.1479126 


s: 908 
logit 908 : -0.4461319 
logit mean 908 : -0.4511063 
logit RMSE 908 : 0.07083319 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 908 : -0.3649235 
boosting mean 908 : -0.4457585 
boosting RMSE 908 : 0.1521113 

forest 908 : -0.3221196 
forest mean 908 : -0.4076452 
forest RMSE 908 : 0.05912041 

nnet 908 : -0.5631696 
nnet mean 908 : -0.4066896 
nnet RMSE 908 : 0.1479302 


s: 909 
logit 909 : -0.4850242 
logit mean 909 : -0.4511436 
logit RMSE 909 : 0.07085037 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 909 : -0.5509991 
boosting mean 909 : -0.4458743 
boosting RMSE 909 : 0.1521101 

forest 909 : -0.3707163 
forest mean 909 : -0.4076046 
forest RMSE 909 : 0.05909586 

nnet 909 : -0.5698515 
nnet mean 909 : -0.4068690 
nnet RMSE 909 : 0.1479561 


s: 910 
logit 910 : -0.4534226 
logit mean 910 : -0.4511461 
logit RMSE 910 : 0.07083357 

boosting 910 : -0.4205399 
boosting mean 910 : -0.4458465 
boosting RMSE 910 : 0.152028 

forest 910 : -0.4046281 
forest mean 910 : -0.4076013 
forest RMSE 910 : 0.05906358 

nnet 910 : -0.5966493 
nnet mean 910 : -0.4070776 
nnet RMSE 910 : 0.1480184 


s: 911 
logit 911 : -0.4632945 
logit mean 911 : -0.4511595 
logit RMSE 911 : 0.07082573 

boosting 911 : -0.4957463 
boosting mean 911 : -0.4459012 
boosting RMSE 911 : 0.1519777 

forest 911 : -0.4848707 
forest mean 911 : -0.4076862 
forest RMSE 911 : 0.05909809 

nnet 911 : -0.2980616 
nnet mean 911 : -0.4069579 
nnet RMSE 911 : 0.1479757 


s: 912 
logit 912 : -0.393233 
logit mean 912 : -0.451096 
logit RMSE 912 : 0.07078725 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 912 : -0.8408109 
boosting mean 912 : -0.4463343 
boosting RMSE 912 : 0.1525941 

forest 912 : -0.4889767 
forest mean 912 : -0.4077753 
forest RMSE 912 : 0.05913912 

nnet 912 : -0.5845988 
nnet mean 912 : -0.4071527 
nnet RMSE 912 : 0.1480208 


s: 913 
logit 913 : -0.3910932 
logit mean 913 : -0.4510302 
logit RMSE 913 : 0.07074908 

boosting 913 : -0.5007025 
boosting mean 913 : -0.4463938 
boosting RMSE 913 : 0.1525469 

forest 913 : -0.4244118 
forest mean 913 : -0.4077935 
forest RMSE 913 : 0.05911224 

nnet 913 : -0.5488521 
nnet mean 913 : -0.4073079 
nnet RMSE 913 : 0.1480217 


s: 914 
logit 914 : -0.4480559 
logit mean 914 : -0.451027 
logit RMSE 914 : 0.07072823 

boosting 914 : -0.4028641 
boosting mean 914 : -0.4463462 
boosting RMSE 914 : 0.1524634 

forest 914 : -0.3307895 
forest mean 914 : -0.4077093 
forest RMSE 914 : 0.05912423 

nnet 914 : -0.4648872 
nnet mean 914 : -0.4073709 
nnet RMSE 914 : 0.1479563 


s: 915 
logit 915 : -0.454723 
logit mean 915 : -0.451031 
logit RMSE 915 : 0.07071272 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 915 : -0.3738983 
boosting mean 915 : -0.446267 
boosting RMSE 915 : 0.1523825 

forest 915 : -0.4486701 
forest mean 915 : -0.407754 
forest RMSE 915 : 0.05911382 

nnet 915 : -0.402891 
nnet mean 915 : -0.407366 
nnet RMSE 915 : 0.1478755 


s: 916 
logit 916 : -0.425749 
logit mean 916 : -0.4510034 
logit RMSE 916 : 0.07067923 

boosting 916 : -0.2666934 
boosting mean 916 : -0.446071 
boosting RMSE 916 : 0.152363 

forest 916 : -0.2844502 
forest mean 916 : -0.4076194 
forest RMSE 916 : 0.05920477 

nnet 916 : -0.2310667 
nnet mean 916 : -0.4071735 
nnet RMSE 916 : 0.1479001 


s: 917 
logit 917 : -0.4155433 
logit mean 917 : -0.4509648 
logit RMSE 917 : 0.07064255 

boosting 917 : -0.6660289 
boosting mean 917 : -0.4463108 
boosting RMSE 917 : 0.1525331 

forest 917 : -0.4784287 
forest mean 917 : -0.4076966 
forest RMSE 917 : 0.05922913 

nnet 917 : -0.2806684 
nnet mean 917 : -0.4070356 
nnet RMSE 917 : 0.1478720 


s: 918 
logit 918 : -0.4540231 
logit mean 918 : -0.4509681 
logit RMSE 918 : 0.07062657 

boosting 918 : -0.4393525 
boosting mean 918 : -0.4463033 
boosting RMSE 918 : 0.1524555 

forest 918 : -0.3793486 
forest mean 918 : -0.4076658 
forest RMSE 918 : 0.05920079 

nnet 918 : -0.5256281 
nnet mean 918 : -0.4071648 
nnet RMSE 918 : 0.1478495 


s: 919 
logit 919 : -0.2534158 
logit mean 919 : -0.4507531 
logit RMSE 919 : 0.07075355 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 919 : -0.5835871 
boosting mean 919 : -0.4464526 
boosting RMSE 919 : 0.1524929 

forest 919 : -0.384341 
forest mean 919 : -0.4076404 
forest RMSE 919 : 0.05917082 

nnet 919 : -0.5149421 
nnet mean 919 : -0.4072821 
nnet RMSE 919 : 0.1478177 


s: 920 
logit 920 : -0.4267419 
logit mean 920 : -0.450727 
logit RMSE 920 : 0.07072059 

boosting 920 : -0.4257961 
boosting mean 920 : -0.4464302 
boosting RMSE 920 : 0.1524123 

forest 920 : -0.4239127 
forest mean 920 : -0.4076581 
forest RMSE 920 : 0.05914391 

nnet 920 : -0.4666834 
nnet mean 920 : -0.4073466 
nnet RMSE 920 : 0.1477537 


s: 921 
logit 921 : -0.4039016 
logit mean 921 : -0.4506762 
logit RMSE 921 : 0.0706823 

boosting 921 : -0.1464946 
boosting mean 921 : -0.4461045 
boosting RMSE 921 : 0.1525584 

forest 921 : -0.3472729 
forest mean 921 : -0.4075925 
forest RMSE 921 : 0.05913732 

nnet 921 : -0.1775165 
nnet mean 921 : -0.4070971 
nnet RMSE 921 : 0.1478553 


s: 922 
logit 922 : -0.469679 
logit mean 922 : -0.4506968 
logit RMSE 922 : 0.07068122 

boosting 922 : -0.301272 
boosting mean 922 : -0.4459474 
boosting RMSE 922 : 0.1525103 

forest 922 : -0.4320459 
forest mean 922 : -0.407619 
forest RMSE 922 : 0.05911467 

nnet 922 : -0.3432956 
nnet mean 922 : -0.4070279 
nnet RMSE 922 : 0.1477869 


s: 923 
logit 923 : -0.431996 
logit mean 923 : -0.4506765 
logit RMSE 923 : 0.07065077 

boosting 923 : -0.2533191 
boosting mean 923 : -0.4457387 
boosting RMSE 923 : 0.1525042 

forest 923 : -0.292168 
forest mean 923 : -0.4074939 
forest RMSE 923 : 0.05918915 

nnet 923 : -0.4123301 
nnet mean 923 : -0.4070336 
nnet RMSE 923 : 0.1477074 


s: 924 
logit 924 : -0.5400169 
logit mean 924 : -0.4507732 
logit RMSE 924 : 0.0707626 

boosting 924 : -0.5541079 
boosting mean 924 : -0.445856 
boosting RMSE 924 : 0.1525059 

forest 924 : -0.3800455 
forest mean 924 : -0.4074642 
forest RMSE 924 : 0.05916075 

nnet 924 : -0.4581735 
nnet mean 924 : -0.407089 
nnet RMSE 924 : 0.1476399 


s: 925 
logit 925 : -0.4944123 
logit mean 925 : -0.4508204 
logit RMSE 925 : 0.07079244 

boosting 925 : -0.5365963 
boosting mean 925 : -0.4459541 
boosting RMSE 925 : 0.1524896 

forest 925 : -0.4045298 
forest mean 925 : -0.4074611 
forest RMSE 925 : 0.05912895 

nnet 925 : -0.6808505 
nnet mean 925 : -0.4073849 
nnet RMSE 925 : 0.1478487 


s: 926 
logit 926 : -0.5068787 
logit mean 926 : -0.4508809 
logit RMSE 926 : 0.07084133 

boosting 926 : -0.477492 
boosting mean 926 : -0.4459882 
boosting RMSE 926 : 0.1524285 

forest 926 : -0.4744047 
forest mean 926 : -0.4075334 
forest RMSE 926 : 0.05914758 

nnet 926 : -0.2670155 
nnet mean 926 : -0.4072333 
nnet RMSE 926 : 0.1478335 


s: 927 
logit 927 : -0.4566884 
logit mean 927 : -0.4508872 
logit RMSE 927 : 0.07082758 

boosting 927 : -0.4277045 
boosting mean 927 : -0.4459685 
boosting RMSE 927 : 0.152349 

forest 927 : -0.4320483 
forest mean 927 : -0.4075598 
forest RMSE 927 : 0.05912504 

nnet 927 : -0.5691464 
nnet mean 927 : -0.407408 
nnet RMSE 927 : 0.1478581 


s: 928 
logit 928 : -0.5049252 
logit mean 928 : -0.4509454 
logit RMSE 928 : 0.07087315 

boosting 928 : -0.4624739 
boosting mean 928 : -0.4459862 
boosting RMSE 928 : 0.1522807 

forest 928 : -0.408034 
forest mean 928 : -0.4075603 
forest RMSE 928 : 0.05909376 

nnet 928 : -0.6760582 
nnet mean 928 : -0.4076975 
nnet RMSE 928 : 0.148056 


s: 929 
logit 929 : -0.4456009 
logit mean 929 : -0.4509397 
logit RMSE 929 : 0.0708508 

boosting 929 : -0.5190832 
boosting mean 929 : -0.4460649 
boosting RMSE 929 : 0.1522488 

forest 929 : -0.2966227 
forest mean 929 : -0.4074409 
forest RMSE 929 : 0.05915925 

nnet 929 : -0.318726 
nnet mean 929 : -0.4076017 
nnet RMSE 929 : 0.1480003 


s: 930 
logit 930 : -0.408076 
logit mean 930 : -0.4508936 
logit RMSE 930 : 0.07081319 

boosting 930 : -0.4816429 
boosting mean 930 : -0.4461032 
boosting RMSE 930 : 0.1521905 

forest 930 : -0.3611857 
forest mean 930 : -0.4073912 
forest RMSE 930 : 0.05914114 

nnet 930 : -0.6002342 
nnet mean 930 : -0.4078089 
nnet RMSE 930 : 0.1480664 


s: 931 
logit 931 : -0.4993872 
logit mean 931 : -0.4509457 
logit RMSE 931 : 0.07085006 

boosting 931 : -0.4741339 
boosting mean 931 : -0.4461333 
boosting RMSE 931 : 0.1521282 

forest 931 : -0.4988876 
forest mean 931 : -0.4074894 
forest RMSE 931 : 0.05919815 

nnet 931 : -0.5020201 
nnet mean 931 : -0.4079101 
nnet RMSE 931 : 0.1480246 


s: 932 
logit 932 : -0.4876656 
logit mean 932 : -0.4509851 
logit RMSE 932 : 0.07087025 

boosting 932 : -0.3029935 
boosting mean 932 : -0.4459797 
boosting RMSE 932 : 0.1520797 

forest 932 : -0.4049693 
forest mean 932 : -0.4074867 
forest RMSE 932 : 0.0591666 

nnet 932 : -0.2483326 
nnet mean 932 : -0.4077388 
nnet RMSE 932 : 0.1480286 


s: 933 
logit 933 : -0.4794808 
logit mean 933 : -0.4510156 
logit RMSE 933 : 0.07088003 

boosting 933 : -0.5158052 
boosting mean 933 : -0.4460545 
boosting RMSE 933 : 0.1520455 

forest 933 : -0.4194767 
forest mean 933 : -0.4074996 
forest RMSE 933 : 0.05913832 

nnet 933 : -0.3819505 
nnet mean 933 : -0.4077112 
nnet RMSE 933 : 0.1479504 


s: 934 
logit 934 : -0.4657246 
logit mean 934 : -0.4510314 
logit RMSE 934 : 0.07087472 

boosting 934 : -0.4465882 
boosting mean 934 : -0.4460551 
boosting RMSE 934 : 0.1519717 

forest 934 : -0.4834871 
forest mean 934 : -0.4075809 
forest RMSE 934 : 0.05916975 

nnet 934 : -0.3222789 
nnet mean 934 : -0.4076197 
nnet RMSE 934 : 0.1478930 


s: 935 
logit 935 : -0.4410084 
logit mean 935 : -0.4510207 
logit RMSE 935 : 0.0708495 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 935 : -0.410683 
boosting mean 935 : -0.4460173 
boosting RMSE 935 : 0.1518908 

forest 935 : -0.2928103 
forest mean 935 : -0.4074582 
forest RMSE 935 : 0.05924191 

nnet 935 : -0.518264 
nnet mean 935 : -0.4077381 
nnet RMSE 935 : 0.1478645 


s: 936 
logit 936 : -0.4539831 
logit mean 936 : -0.4510238 
logit RMSE 936 : 0.07083362 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 936 : -0.5766712 
boosting mean 936 : -0.4461569 
boosting RMSE 936 : 0.1519195 

forest 936 : -0.543323 
forest mean 936 : -0.4076033 
forest RMSE 936 : 0.05939529 

nnet 936 : -0.7458586 
nnet mean 936 : -0.4080993 
nnet RMSE 936 : 0.1482173 


s: 937 
logit 937 : -0.4341453 
logit mean 937 : -0.4510058 
logit RMSE 937 : 0.0708046 

boosting 937 : -0.4368534 
boosting mean 937 : -0.4461469 
boosting RMSE 937 : 0.1518431 

forest 937 : -0.411552 
forest mean 937 : -0.4076076 
forest RMSE 937 : 0.05936478 

nnet 937 : -0.3817277 
nnet mean 937 : -0.4080712 
nnet RMSE 937 : 0.1481393 


s: 938 
logit 938 : -0.525305 
logit mean 938 : -0.451085 
logit RMSE 938 : 0.07088502 

boosting 938 : -0.1881308 
boosting mean 938 : -0.4458719 
boosting RMSE 938 : 0.1519198 

forest 938 : -0.3613063 
forest mean 938 : -0.4075582 
forest RMSE 938 : 0.05934658 

nnet 938 : -0.4805686 
nnet mean 938 : -0.4081484 
nnet RMSE 938 : 0.1480837 


s: 939 
logit 939 : -0.4059661 
logit mean 939 : -0.451037 
logit RMSE 939 : 0.07084753 

boosting 939 : -0.4628272 
boosting mean 939 : -0.4458899 
boosting RMSE 939 : 0.1518527 

forest 939 : -0.4989733 
forest mean 939 : -0.4076556 
forest RMSE 939 : 0.05940284 

nnet 939 : -0.7206731 
nnet mean 939 : -0.4084813 
nnet RMSE 939 : 0.1483743 


s: 940 
logit 940 : -0.4328574 
logit mean 940 : -0.4510176 
logit RMSE 940 : 0.07081795 

boosting 940 : -0.4137822 
boosting mean 940 : -0.4458558 
boosting RMSE 940 : 0.1517726 

forest 940 : -0.403886 
forest mean 940 : -0.4076515 
forest RMSE 940 : 0.05937137 

nnet 940 : -0.3293546 
nnet mean 940 : -0.4083971 
nnet RMSE 940 : 0.1483133 


s: 941 
logit 941 : -0.4504706 
logit mean 941 : -0.451017 
logit RMSE 941 : 0.07079943 

boosting 941 : -0.6069642 
boosting mean 941 : -0.446027 
boosting RMSE 941 : 0.1518419 

forest 941 : -0.4200209 
forest mean 941 : -0.4076647 
forest RMSE 941 : 0.05934341 

nnet 941 : -0.3562387 
nnet mean 941 : -0.4083417 
nnet RMSE 941 : 0.1482413 


s: 942 
logit 942 : -0.4466636 
logit mean 942 : -0.4510124 
logit RMSE 942 : 0.07077817 

boosting 942 : -0.5253122 
boosting mean 942 : -0.4461111 
boosting RMSE 942 : 0.1518162 

forest 942 : -0.3346779 
forest mean 942 : -0.4075872 
forest RMSE 942 : 0.05935007 

nnet 942 : -0.1940379 
nnet mean 942 : -0.4081142 
nnet RMSE 942 : 0.1483145 


s: 943 
logit 943 : -0.4005556 
logit mean 943 : -0.4509589 
logit RMSE 943 : 0.07074063 

boosting 943 : -0.5807106 
boosting mean 943 : -0.4462539 
boosting RMSE 943 : 0.1518497 

forest 943 : -0.4145046 
forest mean 943 : -0.4075945 
forest RMSE 943 : 0.05932048 

nnet 943 : -0.3742612 
nnet mean 943 : -0.4080783 
nnet RMSE 943 : 0.1482382 


s: 944 
logit 944 : -0.4063404 
logit mean 944 : -0.4509116 
logit RMSE 944 : 0.07070346 

boosting 944 : -0.1945339 
boosting mean 944 : -0.4459872 
boosting RMSE 944 : 0.1519165 

forest 944 : -0.4764191 
forest mean 944 : -0.4076674 
forest RMSE 944 : 0.0593412 

nnet 944 : -0.4445966 
nnet mean 944 : -0.4081170 
nnet RMSE 944 : 0.1481668 


s: 945 
logit 945 : -0.4906338 
logit mean 945 : -0.4509537 
logit RMSE 945 : 0.07072752 

boosting 945 : -0.6374681 
boosting mean 945 : -0.4461899 
boosting RMSE 945 : 0.1520325 

forest 945 : -0.3710871 
forest mean 945 : -0.4076287 
forest RMSE 945 : 0.05931725 

nnet 945 : -0.4084835 
nnet mean 945 : -0.4081173 
nnet RMSE 945 : 0.1480887 


s: 946 
logit 946 : -0.4151522 
logit mean 946 : -0.4509158 
logit RMSE 946 : 0.07069184 

boosting 946 : -0.2558607 
boosting mean 946 : -0.4459887 
boosting RMSE 946 : 0.1520244 

forest 946 : -0.4429303 
forest mean 946 : -0.4076661 
forest RMSE 946 : 0.05930232 

nnet 946 : -0.4410968 
nnet mean 946 : -0.4081522 
nnet RMSE 946 : 0.1480164 


s: 947 
logit 947 : -0.4854572 
logit mean 947 : -0.4509523 
logit RMSE 947 : 0.07070906 

boosting 947 : -0.51488 
boosting mean 947 : -0.4460614 
boosting RMSE 947 : 0.1519899 

forest 947 : -0.4467258 
forest mean 947 : -0.4077073 
forest RMSE 947 : 0.05929044 

nnet 947 : -0.5699063 
nnet mean 947 : -0.408323 
nnet RMSE 947 : 0.1480412 


s: 948 
logit 948 : -0.5298693 
logit mean 948 : -0.4510356 
logit RMSE 948 : 0.07079751 

boosting 948 : -0.2430182 
boosting mean 948 : -0.4458472 
boosting RMSE 948 : 0.1519953 

forest 948 : -0.3824504 
forest mean 948 : -0.4076807 
forest RMSE 948 : 0.0592619 

nnet 948 : 0.06013229 
nnet mean 948 : -0.4078289 
nnet RMSE 948 : 0.1487159 


s: 949 
logit 949 : -0.4708734 
logit mean 949 : -0.4510565 
logit RMSE 949 : 0.0707976 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 949 : -0.3487428 
boosting mean 949 : -0.4457449 
boosting RMSE 949 : 0.1519243 

forest 949 : -0.3279625 
forest mean 949 : -0.4075967 
forest RMSE 949 : 0.05927681 

nnet 949 : -0.6840095 
nnet mean 949 : -0.4081199 
nnet RMSE 949 : 0.1489232 


s: 950 
logit 950 : -0.4222148 
logit mean 950 : -0.4510261 
logit RMSE 950 : 0.07076399 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 950 : -0.4475555 
boosting mean 950 : -0.4457468 
boosting RMSE 950 : 0.1518522 

forest 950 : -0.4418693 
forest mean 950 : -0.4076327 
forest RMSE 950 : 0.05926118 

nnet 950 : -0.2938503 
nnet mean 950 : -0.4079996 
nnet RMSE 950 : 0.1488846 


s: 951 
logit 951 : -0.3439859 
logit mean 951 : -0.4509135 
logit RMSE 951 : 0.0707501 

boosting 951 : -0.2798569 
boosting mean 951 : -0.4455724 
boosting RMSE 951 : 0.1518223 

forest 951 : -0.4295347 
forest mean 951 : -0.4076558 
forest RMSE 951 : 0.05923776 

nnet 951 : -0.6525237 
nnet mean 951 : -0.4082567 
nnet RMSE 951 : 0.1490314 


s: 952 
logit 952 : -0.413726 
logit mean 952 : -0.4508745 
logit RMSE 952 : 0.07071433 

boosting 952 : -0.3344104 
boosting mean 952 : -0.4454556 
boosting RMSE 952 : 0.1517574 

forest 952 : -0.3534854 
forest mean 952 : -0.4075989 
forest RMSE 952 : 0.05922583 

nnet 952 : -0.2150981 
nnet mean 952 : -0.4080538 
nnet RMSE 952 : 0.1490736 


s: 953 
logit 953 : -0.3608134 
logit mean 953 : -0.45078 
logit RMSE 953 : 0.07068862 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 953 : -0.467283 
boosting mean 953 : -0.4454785 
boosting RMSE 953 : 0.1516934 

forest 953 : -0.3199193 
forest mean 953 : -0.4075069 
forest RMSE 953 : 0.05925156 

nnet 953 : -0.6059163 
nnet mean 953 : -0.4082614 
nnet RMSE 953 : 0.1491446 


s: 954 
logit 954 : -0.5104164 
logit mean 954 : -0.4508425 
logit RMSE 954 : 0.07074194 

boosting 954 : -0.2719796 
boosting mean 954 : -0.4452966 
boosting RMSE 954 : 0.1516706 

forest 954 : -0.3518948 
forest mean 954 : -0.4074486 
forest RMSE 954 : 0.05924097 

nnet 954 : -0.3547322 
nnet mean 954 : -0.4082053 
nnet RMSE 954 : 0.1490737 


s: 955 
logit 955 : -0.4142112 
logit mean 955 : -0.4508041 
logit RMSE 955 : 0.07070639 

boosting 955 : -0.5641386 
boosting mean 955 : -0.4454211 
boosting RMSE 955 : 0.1516841 

forest 955 : -0.4000106 
forest mean 955 : -0.4074408 
forest RMSE 955 : 0.05920995 

nnet 955 : -0.55251 
nnet mean 955 : -0.4083564 
nnet RMSE 955 : 0.1490773 


s: 956 
logit 956 : -0.4130772 
logit mean 956 : -0.4507647 
logit RMSE 956 : 0.07067067 

boosting 956 : -0.6103306 
boosting mean 956 : -0.4455936 
boosting RMSE 956 : 0.1517573 

forest 956 : -0.4773994 
forest mean 956 : -0.4075140 
forest RMSE 956 : 0.05923189 

nnet 956 : -0.4329338 
nnet mean 956 : -0.4083821 
nnet RMSE 956 : 0.1490031 


s: 957 
logit 957 : -0.4546532 
logit mean 957 : -0.4507687 
logit RMSE 957 : 0.07065582 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 957 : -0.1492360 
boosting mean 957 : -0.4452839 
boosting RMSE 957 : 0.1518945 

forest 957 : -0.4012331 
forest mean 957 : -0.4075074 
forest RMSE 957 : 0.05920095 

nnet 957 : -0.3373076 
nnet mean 957 : -0.4083079 
nnet RMSE 957 : 0.1489390 


s: 958 
logit 958 : -0.4205153 
logit mean 958 : -0.4507372 
logit RMSE 958 : 0.07062205 

boosting 958 : -0.4138932 
boosting mean 958 : -0.4452511 
boosting RMSE 958 : 0.1518158 

forest 958 : -0.3013934 
forest mean 958 : -0.4073966 
forest RMSE 958 : 0.05925575 

nnet 958 : -0.2901415 
nnet mean 958 : -0.4081845 
nnet RMSE 958 : 0.1489036 


s: 959 
logit 959 : -0.3624943 
logit mean 959 : -0.4506451 
logit RMSE 959 : 0.0705956 

boosting 959 : -0.5836142 
boosting mean 959 : -0.4453954 
boosting RMSE 959 : 0.1518525 

forest 959 : -0.4179544 
forest mean 959 : -0.4074076 
forest RMSE 959 : 0.05922768 

nnet 959 : -0.3594664 
nnet mean 959 : -0.4081337 
nnet RMSE 959 : 0.1488317 


s: 960 
logit 960 : -0.4595752 
logit mean 960 : -0.4506544 
logit RMSE 960 : 0.07058502 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 960 : -0.3773327 
boosting mean 960 : -0.4453245 
boosting RMSE 960 : 0.1517751 

forest 960 : -0.4102159 
forest mean 960 : -0.4074106 
forest RMSE 960 : 0.05919775 

nnet 960 : -0.473976 
nnet mean 960 : -0.4082023 
nnet RMSE 960 : 0.1487733 


s: 961 
logit 961 : -0.4622433 
logit mean 961 : -0.4506665 
logit RMSE 961 : 0.07057685 

boosting 961 : -0.4368701 
boosting mean 961 : -0.4453157 
boosting RMSE 961 : 0.1517008 

forest 961 : -0.405926 
forest mean 961 : -0.407409 
forest RMSE 961 : 0.05916725 

nnet 961 : -0.343709 
nnet mean 961 : -0.4081352 
nnet RMSE 961 : 0.1487070 


s: 962 
logit 962 : -0.4641288 
logit mean 962 : -0.4506805 
logit RMSE 962 : 0.07057046 

boosting 962 : -0.4386159 
boosting mean 962 : -0.4453088 
boosting RMSE 962 : 0.1516270 

forest 962 : -0.3678051 
forest mean 962 : -0.4073678 
forest RMSE 962 : 0.0591456 

nnet 962 : -0.4572719 
nnet mean 962 : -0.4081863 
nnet RMSE 962 : 0.1486411 


s: 963 
logit 963 : -0.4134875 
logit mean 963 : -0.4506419 
logit RMSE 963 : 0.07053515 

boosting 963 : -0.601602 
boosting mean 963 : -0.4454711 
boosting RMSE 963 : 0.1516875 

forest 963 : -0.442261 
forest mean 963 : -0.4074041 
forest RMSE 963 : 0.05913056 

nnet 963 : -0.7555723 
nnet mean 963 : -0.408547 
nnet RMSE 963 : 0.1490051 


s: 964 
logit 964 : -0.4979876 
logit mean 964 : -0.450691 
logit RMSE 964 : 0.07056916 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 964 : -0.3591464 
boosting mean 964 : -0.4453815 
boosting RMSE 964 : 0.1516145 

forest 964 : -0.479809 
forest mean 964 : -0.4074792 
forest RMSE 964 : 0.05915576 

nnet 964 : -0.2278840 
nnet mean 964 : -0.4083596 
nnet RMSE 964 : 0.1490310 


s: 965 
logit 965 : -0.428359 
logit mean 965 : -0.4506678 
logit RMSE 965 : 0.07053849 

boosting 965 : -0.398097 
boosting mean 965 : -0.4453325 
boosting RMSE 965 : 0.1515359 

forest 965 : -0.3813051 
forest mean 965 : -0.4074521 
forest RMSE 965 : 0.05912816 

nnet 965 : -0.2862672 
nnet mean 965 : -0.4082331 
nnet RMSE 965 : 0.1489987 


s: 966 
logit 966 : -0.4799679 
logit mean 966 : -0.4506982 
logit RMSE 966 : 0.0705489 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 966 : -0.3256096 
boosting mean 966 : -0.4452086 
boosting RMSE 966 : 0.1514764 

forest 966 : -0.4415633 
forest mean 966 : -0.4074874 
forest RMSE 966 : 0.05911268 

nnet 966 : -0.4443165 
nnet mean 966 : -0.4082704 
nnet RMSE 966 : 0.1489284 


s: 967 
logit 967 : -0.3794702 
logit mean 967 : -0.4506245 
logit RMSE 967 : 0.07051551 

boosting 967 : -0.3042718 
boosting mean 967 : -0.4450628 
boosting RMSE 967 : 0.1514293 

forest 967 : -0.378506 
forest mean 967 : -0.4074574 
forest RMSE 967 : 0.05908615 

nnet 967 : -0.3693212 
nnet mean 967 : -0.4082302 
nnet RMSE 967 : 0.1488547 


s: 968 
logit 968 : -0.4091012 
logit mean 968 : -0.4505816 
logit RMSE 968 : 0.07047968 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 968 : -0.3868461 
boosting mean 968 : -0.4450027 
boosting RMSE 968 : 0.1513517 

forest 968 : -0.2878609 
forest mean 968 : -0.4073339 
forest RMSE 968 : 0.05916551 

nnet 968 : -0.368258 
nnet mean 968 : -0.4081889 
nnet RMSE 968 : 0.1487812 


s: 969 
logit 969 : -0.4696732 
logit mean 969 : -0.4506013 
logit RMSE 969 : 0.07047885 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 969 : -0.3446607 
boosting mean 969 : -0.4448991 
boosting RMSE 969 : 0.151284 

forest 969 : -0.4165904 
forest mean 969 : -0.4073434 
forest RMSE 969 : 0.05913737 

nnet 969 : -0.2334997 
nnet mean 969 : -0.4080086 
nnet RMSE 969 : 0.1488006 


s: 970 
logit 970 : -0.5509231 
logit mean 970 : -0.4507047 
logit RMSE 970 : 0.070609 

boosting 970 : -0.5726514 
boosting mean 970 : -0.4450308 
boosting RMSE 970 : 0.1513076 

forest 970 : -0.4045754 
forest mean 970 : -0.4073406 
forest RMSE 970 : 0.05910706 

nnet 970 : -0.4600543 
nnet mean 970 : -0.4080622 
nnet RMSE 970 : 0.1487364 


s: 971 
logit 971 : -0.3750065 
logit mean 971 : -0.4506268 
logit RMSE 971 : 0.07057719 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 971 : -0.5011621 
boosting mean 971 : -0.4450886 
boosting RMSE 971 : 0.1512645 

forest 971 : -0.456052 
forest mean 971 : -0.4073907 
forest RMSE 971 : 0.059104 

nnet 971 : -0.5858703 
nnet mean 971 : -0.4082454 
nnet RMSE 971 : 0.1487794 


s: 972 
logit 972 : -0.4577099 
logit mean 972 : -0.4506341 
logit RMSE 972 : 0.07056515 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 972 : -0.3527372 
boosting mean 972 : -0.4449936 
boosting RMSE 972 : 0.1511943 

forest 972 : -0.5146336 
forest mean 972 : -0.4075011 
forest RMSE 972 : 0.0591879 

nnet 972 : -0.5359425 
nnet mean 972 : -0.4083767 
nnet RMSE 972 : 0.1487668 


s: 973 
logit 973 : -0.3901266 
logit mean 973 : -0.4505719 
logit RMSE 973 : 0.07052959 

boosting 973 : -0.5524291 
boosting mean 973 : -0.4451041 
boosting RMSE 973 : 0.1511955 

forest 973 : -0.4177456 
forest mean 973 : -0.4075116 
forest RMSE 973 : 0.05916022 

nnet 973 : -0.2429084 
nnet mean 973 : -0.4082067 
nnet RMSE 973 : 0.1487756 


s: 974 
logit 974 : -0.4291923 
logit mean 974 : -0.4505499 
logit RMSE 974 : 0.07049958 

boosting 974 : -0.523431 
boosting mean 974 : -0.4451845 
boosting RMSE 974 : 0.1511697 

forest 974 : -0.4446244 
forest mean 974 : -0.4075497 
forest RMSE 974 : 0.05914713 

nnet 974 : -0.3062534 
nnet mean 974 : -0.408102 
nnet RMSE 974 : 0.1487295 


s: 975 
logit 975 : -0.4770301 
logit mean 975 : -0.4505771 
logit RMSE 975 : 0.07050659 

boosting 975 : -0.68736 
boosting mean 975 : -0.4454329 
boosting RMSE 975 : 0.1513721 

forest 975 : -0.5042054 
forest mean 975 : -0.4076488 
forest RMSE 975 : 0.05921091 

nnet 975 : -0.315374 
nnet mean 975 : -0.4080069 
nnet RMSE 975 : 0.1486779 


s: 976 
logit 976 : -0.4972043 
logit mean 976 : -0.4506249 
logit RMSE 976 : 0.07053912 

boosting 976 : -0.5250564 
boosting mean 976 : -0.4455144 
boosting RMSE 976 : 0.1513475 

forest 976 : -0.4677042 
forest mean 976 : -0.4077104 
forest RMSE 976 : 0.05922023 

nnet 976 : -0.5474302 
nnet mean 976 : -0.4081497 
nnet RMSE 976 : 0.1486766 


s: 977 
logit 977 : -0.5129767 
logit mean 977 : -0.4506887 
logit RMSE 977 : 0.0705956 

boosting 977 : -0.4220049 
boosting mean 977 : -0.4454904 
boosting RMSE 977 : 0.1512717 

forest 977 : -0.4423812 
forest mean 977 : -0.4077458 
forest RMSE 977 : 0.05920545 

nnet 977 : -0.3686454 
nnet mean 977 : -0.4081093 
nnet RMSE 977 : 0.1486039 


s: 978 
logit 978 : -0.478011 
logit mean 978 : -0.4507166 
logit RMSE 978 : 0.07060358 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 978 : -0.4982568 
boosting mean 978 : -0.4455443 
boosting RMSE 978 : 0.1512269 

forest 978 : -0.3606361 
forest mean 978 : -0.4076977 
forest RMSE 978 : 0.05918856 

nnet 978 : -0.5184827 
nnet mean 978 : -0.4082222 
nnet RMSE 978 : 0.1485762 


s: 979 
logit 979 : -0.4104999 
logit mean 979 : -0.4506755 
logit RMSE 979 : 0.0705683 

boosting 979 : -0.3245836 
boosting mean 979 : -0.4454208 
boosting RMSE 979 : 0.1511689 

forest 979 : -0.2903400 
forest mean 979 : -0.4075778 
forest RMSE 979 : 0.05926204 

nnet 979 : -0.5452419 
nnet mean 979 : -0.4083621 
nnet RMSE 979 : 0.1485729 


s: 980 
logit 980 : -0.4535899 
logit mean 980 : -0.4506785 
logit RMSE 980 : 0.07055306 

boosting 980 : -0.3748075 
boosting mean 980 : -0.4453487 
boosting RMSE 980 : 0.1510939 

forest 980 : -0.39952 
forest mean 980 : -0.4075696 
forest RMSE 980 : 0.0592318 

nnet 980 : -0.2212847 
nnet mean 980 : -0.4081712 
nnet RMSE 980 : 0.1486068 


s: 981 
logit 981 : -0.4382433 
logit mean 981 : -0.4506658 
logit RMSE 981 : 0.07052766 

boosting 981 : -0.4436992 
boosting mean 981 : -0.445347 
boosting RMSE 981 : 0.1510233 

forest 981 : -0.4808752 
forest mean 981 : -0.4076443 
forest RMSE 981 : 0.05925789 

nnet 981 : -0.6308556 
nnet mean 981 : -0.4083982 
nnet RMSE 981 : 0.1487138 


s: 982 
logit 982 : -0.4321942 
logit mean 982 : -0.450647 
logit RMSE 982 : 0.07049923 

boosting 982 : -0.2486511 
boosting mean 982 : -0.4451467 
boosting RMSE 982 : 0.1510236 

forest 982 : -0.3569889 
forest mean 982 : -0.4075927 
forest RMSE 982 : 0.05924361 

nnet 982 : -0.3222968 
nnet mean 982 : -0.4083106 
nnet RMSE 982 : 0.1486587 


s: 983 
logit 983 : -0.4696407 
logit mean 983 : -0.4506664 
logit RMSE 983 : 0.07049836 

boosting 983 : -0.3067132 
boosting mean 983 : -0.4450059 
boosting RMSE 983 : 0.1509761 

forest 983 : -0.381141 
forest mean 983 : -0.4075658 
forest RMSE 983 : 0.05921653 

nnet 983 : -0.1277468 
nnet mean 983 : -0.4080251 
nnet RMSE 983 : 0.1488366 


s: 984 
logit 984 : -0.4542919 
logit mean 984 : -0.45067 
logit RMSE 984 : 0.07048378 

boosting 984 : -0.5790286 
boosting mean 984 : -0.4451421 
boosting RMSE 984 : 0.1510073 

forest 984 : -0.4334276 
forest mean 984 : -0.4075921 
forest RMSE 984 : 0.05919602 

nnet 984 : -0.3905193 
nnet mean 984 : -0.4080073 
nnet RMSE 984 : 0.1487613 


s: 985 
logit 985 : -0.4019154 
logit mean 985 : -0.4506205 
logit RMSE 985 : 0.07044802 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 985 : -0.3888017 
boosting mean 985 : -0.4450849 
boosting RMSE 985 : 0.1509310 

forest 985 : -0.3761248 
forest mean 985 : -0.4075601 
forest RMSE 985 : 0.05917086 

nnet 985 : -0.4699484 
nnet mean 985 : -0.4080702 
nnet RMSE 985 : 0.1487024 


s: 986 
logit 986 : -0.3695503 
logit mean 986 : -0.4505383 
logit RMSE 986 : 0.07041897 

boosting 986 : -0.4616085 
boosting mean 986 : -0.4451017 
boosting RMSE 986 : 0.1508672 

forest 986 : -0.4244411 
forest mean 986 : -0.4075773 
forest RMSE 986 : 0.05914596 

nnet 986 : -0.5325533 
nnet mean 986 : -0.4081965 
nnet RMSE 986 : 0.1486869 


s: 987 
logit 987 : -0.4150082 
logit mean 987 : -0.4505023 
logit RMSE 987 : 0.0703849 

boosting 987 : -0.3454679 
boosting mean 987 : -0.4450007 
boosting RMSE 987 : 0.1508008 

forest 987 : -0.3776922 
forest mean 987 : -0.407547 
forest RMSE 987 : 0.05912026 

nnet 987 : -0.3893308 
nnet mean 987 : -0.4081774 
nnet RMSE 987 : 0.1486120 


s: 988 
logit 988 : -0.3691159 
logit mean 988 : -0.4504200 
logit RMSE 988 : 0.07035614 

boosting 988 : -0.5901786 
boosting mean 988 : -0.4451477 
boosting RMSE 988 : 0.1508458 

forest 988 : -0.4697957 
forest mean 988 : -0.40761 
forest RMSE 988 : 0.05913204 

nnet 988 : -0.3097091 
nnet mean 988 : -0.4080777 
nnet RMSE 988 : 0.1485645 


s: 989 
logit 989 : -0.4931203 
logit mean 989 : -0.4504631 
logit RMSE 989 : 0.07038287 

boosting 989 : -0.4985189 
boosting mean 989 : -0.4452016 
boosting RMSE 989 : 0.1508021 

forest 989 : -0.3896603 
forest mean 989 : -0.4075918 
forest RMSE 989 : 0.05910305 

nnet 989 : -0.4769309 
nnet mean 989 : -0.4081473 
nnet RMSE 989 : 0.1485095 


s: 990 
logit 990 : -0.4593415 
logit mean 990 : -0.4504721 
logit RMSE 990 : 0.0703726 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 990 : -0.3080092 
boosting mean 990 : -0.4450631 
boosting RMSE 990 : 0.1507543 

forest 990 : -0.3408211 
forest mean 990 : -0.4075244 
forest RMSE 990 : 0.05910313 

nnet 990 : -0.1712688 
nnet mean 990 : -0.4079081 
nnet RMSE 990 : 0.1486124 


s: 991 
logit 991 : -0.5160156 
logit mean 991 : -0.4505382 
logit RMSE 991 : 0.07043356 

boosting 991 : -0.4703811 
boosting mean 991 : -0.4450886 
boosting RMSE 991 : 0.1506948 

forest 991 : -0.3833399 
forest mean 991 : -0.4075 
forest RMSE 991 : 0.05907567 

nnet 991 : -0.5128542 
nnet mean 991 : -0.4080139 
nnet RMSE 991 : 0.1485807 


s: 992 
logit 992 : -0.3687218 
logit mean 992 : -0.4504558 
logit RMSE 992 : 0.07040506 

boosting 992 : -0.3403163 
boosting mean 992 : -0.444983 
boosting RMSE 992 : 0.1506307 

forest 992 : -0.393548 
forest mean 992 : -0.4074859 
forest RMSE 992 : 0.05904624 

nnet 992 : -0.2864979 
nnet mean 992 : -0.4078915 
nnet RMSE 992 : 0.1485495 


s: 993 
logit 993 : -0.4875819 
logit mean 993 : -0.4504931 
logit RMSE 993 : 0.07042446 

boosting 993 : -0.5361121 
boosting mean 993 : -0.4450748 
boosting RMSE 993 : 0.1506168 

forest 993 : -0.7223277 
forest mean 993 : -0.407803 
forest RMSE 993 : 0.05989637 

nnet 993 : -0.3649451 
nnet mean 993 : -0.4078482 
nnet RMSE 993 : 0.1484788 


s: 994 
logit 994 : -0.3548898 
logit mean 994 : -0.450397 
logit RMSE 994 : 0.07040357 

boosting 994 : -0.2048506 
boosting mean 994 : -0.4448331 
boosting RMSE 994 : 0.1506682 

forest 994 : -0.4348846 
forest mean 994 : -0.4078302 
forest RMSE 994 : 0.05987646 

nnet 994 : -0.3332703 
nnet mean 994 : -0.4077732 
nnet RMSE 994 : 0.1484192 


s: 995 
logit 995 : -0.512593 
logit mean 995 : -0.4504595 
logit RMSE 995 : 0.07045865 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 995 : -0.3034568 
boosting mean 995 : -0.444691 
boosting RMSE 995 : 0.1506236 

forest 995 : -0.4415196 
forest mean 995 : -0.4078641 
forest RMSE 995 : 0.05986083 

nnet 995 : -0.4475264 
nnet mean 995 : -0.4078131 
nnet RMSE 995 : 0.1483523 


s: 996 
logit 996 : -0.5020728 
logit mean 996 : -0.4505113 
logit RMSE 996 : 0.0704975 
Warning in ps(z.a ~ w1 + w2 + w3 + w4 + w5 + w6 + w7 + w8 + w9 + w10, data = sdta,  :
  Optimal number of iterations is close to the specified n.trees. n.trees is likely set too small and better balance might be obtainable by setting n.trees to be larger.

boosting 996 : -0.4849928 
boosting mean 996 : -0.4447315 
boosting RMSE 996 : 0.1505720 

forest 996 : -0.4222214 
forest mean 996 : -0.4078785 
forest RMSE 996 : 0.05983492 

nnet 996 : -0.2405349 
nnet mean 996 : -0.4076452 
nnet RMSE 996 : 0.1483639 


s: 997 
logit 997 : -0.4681048 
logit mean 997 : -0.4505289 
logit RMSE 997 : 0.07049515 

boosting 997 : -0.5160979 
boosting mean 997 : -0.444803 
boosting RMSE 997 : 0.1505414 

forest 997 : -0.4108764 
forest mean 997 : -0.4078815 
forest RMSE 997 : 0.0598059 

nnet 997 : -0.4904433 
nnet mean 997 : -0.4077282 
nnet RMSE 997 : 0.1483171 


s: 998 
logit 998 : -0.496651 
logit mean 998 : -0.4505752 
logit RMSE 998 : 0.07052621 

boosting 998 : -0.5789 
boosting mean 998 : -0.4449374 
boosting RMSE 998 : 0.1505725 

forest 998 : -0.3575902 
forest mean 998 : -0.4078311 
forest RMSE 998 : 0.059791 

nnet 998 : -0.4318068 
nnet mean 998 : -0.4077524 
nnet RMSE 998 : 0.1482462 


s: 999 
logit 999 : -0.4486979 
logit mean 999 : -0.4505733 
logit RMSE 999 : 0.07050774 

boosting 999 : -0.4122723 
boosting mean 999 : -0.4449047 
boosting RMSE 999 : 0.1504976 

forest 999 : -0.3368682 
forest mean 999 : -0.4077601 
forest RMSE 999 : 0.05979444 

nnet 999 : -0.3303946 
nnet mean 999 : -0.4076749 
nnet RMSE 999 : 0.1481883 


s: 1000 
logit 1000 : -0.3804727 
logit mean 1000 : -0.4505032 
logit RMSE 1000 : 0.07047518 

boosting 1000 : -0.3913810 
boosting mean 1000 : -0.4448512 
boosting RMSE 1000 : 0.1504226 

forest 1000 : -0.2341217 
forest mean 1000 : -0.4075864 
forest RMSE 1000 : 0.05999429 

nnet 1000 : -0.09896715 
nnet mean 1000 : -0.4073662 
nnet RMSE 1000 : 0.1484198 
> 
> 
> rm(sdta)
> save.image("RData.sims.C.nobs1000",compress="bzip2")
> 
> proc.time()
    user   system  elapsed 
47352.96    16.71 47901.23 
